Mortality_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9b16b702",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import missingno as mno\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "deafdce2",
   "metadata": {},
   "outputs": [],
   "source": [
    "icustays = pd.read_csv('Datasets/ICUSTAYS.csv.gz')\n",
    "admissions = pd.read_csv('Datasets/ADMISSIONS.csv.gz')\n",
    "patients = pd.read_csv('Datasets/PATIENTS.csv.gz')\n",
    "diagnosis = pd.read_csv('Datasets/DIAGNOSES_ICD.csv.gz')\n",
    "d_icd = pd.read_csv('Datasets/D_ICD_DIAGNOSES.csv.gz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dcdc662c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE',\n",
      "       'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID',\n",
      "       'INTIME', 'OUTTIME', 'LOS'],\n",
      "      dtype='object')\n",
      "Index(['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',\n",
      "       'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',\n",
      "       'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',\n",
      "       'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',\n",
      "       'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],\n",
      "      dtype='object')\n",
      "Index(['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN',\n",
      "       'EXPIRE_FLAG'],\n",
      "      dtype='object')\n",
      "Index(['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], dtype='object')\n",
      "Index(['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(icustays.columns)\n",
    "print(admissions.columns)\n",
    "print(patients.columns)\n",
    "print(diagnosis.columns)\n",
    "print(d_icd.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e6392da7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 61532 entries, 0 to 61531\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   ROW_ID          61532 non-null  int64  \n",
      " 1   SUBJECT_ID      61532 non-null  int64  \n",
      " 2   HADM_ID         61532 non-null  int64  \n",
      " 3   ICUSTAY_ID      61532 non-null  int64  \n",
      " 4   DBSOURCE        61532 non-null  object \n",
      " 5   FIRST_CAREUNIT  61532 non-null  object \n",
      " 6   LAST_CAREUNIT   61532 non-null  object \n",
      " 7   FIRST_WARDID    61532 non-null  int64  \n",
      " 8   LAST_WARDID     61532 non-null  int64  \n",
      " 9   INTIME          61532 non-null  object \n",
      " 10  OUTTIME         61522 non-null  object \n",
      " 11  LOS             61522 non-null  float64\n",
      "dtypes: float64(1), int64(6), object(5)\n",
      "memory usage: 5.6+ MB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 58976 entries, 0 to 58975\n",
      "Data columns (total 19 columns):\n",
      " #   Column                Non-Null Count  Dtype \n",
      "---  ------                --------------  ----- \n",
      " 0   ROW_ID                58976 non-null  int64 \n",
      " 1   SUBJECT_ID            58976 non-null  int64 \n",
      " 2   HADM_ID               58976 non-null  int64 \n",
      " 3   ADMITTIME             58976 non-null  object\n",
      " 4   DISCHTIME             58976 non-null  object\n",
      " 5   DEATHTIME             5854 non-null   object\n",
      " 6   ADMISSION_TYPE        58976 non-null  object\n",
      " 7   ADMISSION_LOCATION    58976 non-null  object\n",
      " 8   DISCHARGE_LOCATION    58976 non-null  object\n",
      " 9   INSURANCE             58976 non-null  object\n",
      " 10  LANGUAGE              33644 non-null  object\n",
      " 11  RELIGION              58518 non-null  object\n",
      " 12  MARITAL_STATUS        48848 non-null  object\n",
      " 13  ETHNICITY             58976 non-null  object\n",
      " 14  EDREGTIME             30877 non-null  object\n",
      " 15  EDOUTTIME             30877 non-null  object\n",
      " 16  DIAGNOSIS             58951 non-null  object\n",
      " 17  HOSPITAL_EXPIRE_FLAG  58976 non-null  int64 \n",
      " 18  HAS_CHARTEVENTS_DATA  58976 non-null  int64 \n",
      "dtypes: int64(5), object(14)\n",
      "memory usage: 8.5+ MB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 46520 entries, 0 to 46519\n",
      "Data columns (total 8 columns):\n",
      " #   Column       Non-Null Count  Dtype \n",
      "---  ------       --------------  ----- \n",
      " 0   ROW_ID       46520 non-null  int64 \n",
      " 1   SUBJECT_ID   46520 non-null  int64 \n",
      " 2   GENDER       46520 non-null  object\n",
      " 3   DOB          46520 non-null  object\n",
      " 4   DOD          15759 non-null  object\n",
      " 5   DOD_HOSP     9974 non-null   object\n",
      " 6   DOD_SSN      13378 non-null  object\n",
      " 7   EXPIRE_FLAG  46520 non-null  int64 \n",
      "dtypes: int64(3), object(5)\n",
      "memory usage: 2.8+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(icustays.info())\n",
    "print(admissions.info())\n",
    "print(patients.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d267789",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROW_ID             0\n",
      "SUBJECT_ID         0\n",
      "HADM_ID            0\n",
      "ICUSTAY_ID         0\n",
      "DBSOURCE           0\n",
      "FIRST_CAREUNIT     0\n",
      "LAST_CAREUNIT      0\n",
      "FIRST_WARDID       0\n",
      "LAST_WARDID        0\n",
      "INTIME             0\n",
      "OUTTIME           10\n",
      "LOS               10\n",
      "dtype: int64\n",
      "ROW_ID                      0\n",
      "SUBJECT_ID                  0\n",
      "HADM_ID                     0\n",
      "ADMITTIME                   0\n",
      "DISCHTIME                   0\n",
      "DEATHTIME               53122\n",
      "ADMISSION_TYPE              0\n",
      "ADMISSION_LOCATION          0\n",
      "DISCHARGE_LOCATION          0\n",
      "INSURANCE                   0\n",
      "LANGUAGE                25332\n",
      "RELIGION                  458\n",
      "MARITAL_STATUS          10128\n",
      "ETHNICITY                   0\n",
      "EDREGTIME               28099\n",
      "EDOUTTIME               28099\n",
      "DIAGNOSIS                  25\n",
      "HOSPITAL_EXPIRE_FLAG        0\n",
      "HAS_CHARTEVENTS_DATA        0\n",
      "dtype: int64\n",
      "ROW_ID             0\n",
      "SUBJECT_ID         0\n",
      "GENDER             0\n",
      "DOB                0\n",
      "DOD            30761\n",
      "DOD_HOSP       36546\n",
      "DOD_SSN        33142\n",
      "EXPIRE_FLAG        0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(icustays.isnull().sum())\n",
    "print(admissions.isnull().sum())\n",
    "print(patients.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "59961b70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROW_ID</th>\n",
       "      <th>SUBJECT_ID</th>\n",
       "      <th>HADM_ID</th>\n",
       "      <th>ADMITTIME</th>\n",
       "      <th>DISCHTIME</th>\n",
       "      <th>DEATHTIME</th>\n",
       "      <th>ADMISSION_TYPE</th>\n",
       "      <th>ADMISSION_LOCATION</th>\n",
       "      <th>DISCHARGE_LOCATION</th>\n",
       "      <th>INSURANCE</th>\n",
       "      <th>LANGUAGE</th>\n",
       "      <th>RELIGION</th>\n",
       "      <th>MARITAL_STATUS</th>\n",
       "      <th>ETHNICITY</th>\n",
       "      <th>EDREGTIME</th>\n",
       "      <th>EDOUTTIME</th>\n",
       "      <th>DIAGNOSIS</th>\n",
       "      <th>HOSPITAL_EXPIRE_FLAG</th>\n",
       "      <th>HAS_CHARTEVENTS_DATA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>165315</td>\n",
       "      <td>2196-04-09 12:26:00</td>\n",
       "      <td>2196-04-10 15:54:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMERGENCY</td>\n",
       "      <td>EMERGENCY ROOM ADMIT</td>\n",
       "      <td>DISC-TRAN CANCER/CHLDRN H</td>\n",
       "      <td>Private</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNOBTAINABLE</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>2196-04-09 10:06:00</td>\n",
       "      <td>2196-04-09 13:24:00</td>\n",
       "      <td>BENZODIAZEPINE OVERDOSE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>152223</td>\n",
       "      <td>2153-09-03 07:15:00</td>\n",
       "      <td>2153-09-08 19:10:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ELECTIVE</td>\n",
       "      <td>PHYS REFERRAL/NORMAL DELI</td>\n",
       "      <td>HOME HEALTH CARE</td>\n",
       "      <td>Medicare</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CATHOLIC</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>124321</td>\n",
       "      <td>2157-10-18 19:34:00</td>\n",
       "      <td>2157-10-25 14:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMERGENCY</td>\n",
       "      <td>TRANSFER FROM HOSP/EXTRAM</td>\n",
       "      <td>HOME HEALTH CARE</td>\n",
       "      <td>Medicare</td>\n",
       "      <td>ENGL</td>\n",
       "      <td>CATHOLIC</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BRAIN MASS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>161859</td>\n",
       "      <td>2139-06-06 16:14:00</td>\n",
       "      <td>2139-06-09 12:48:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMERGENCY</td>\n",
       "      <td>TRANSFER FROM HOSP/EXTRAM</td>\n",
       "      <td>HOME</td>\n",
       "      <td>Private</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROTESTANT QUAKER</td>\n",
       "      <td>SINGLE</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>INTERIOR MYOCARDIAL INFARCTION</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>129635</td>\n",
       "      <td>2160-11-02 02:06:00</td>\n",
       "      <td>2160-11-05 14:55:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMERGENCY</td>\n",
       "      <td>EMERGENCY ROOM ADMIT</td>\n",
       "      <td>HOME</td>\n",
       "      <td>Private</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNOBTAINABLE</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>2160-11-02 01:01:00</td>\n",
       "      <td>2160-11-02 04:27:00</td>\n",
       "      <td>ACUTE CORONARY SYNDROME</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ROW_ID  SUBJECT_ID  HADM_ID            ADMITTIME            DISCHTIME  \\\n",
       "0      21          22   165315  2196-04-09 12:26:00  2196-04-10 15:54:00   \n",
       "1      22          23   152223  2153-09-03 07:15:00  2153-09-08 19:10:00   \n",
       "2      23          23   124321  2157-10-18 19:34:00  2157-10-25 14:00:00   \n",
       "3      24          24   161859  2139-06-06 16:14:00  2139-06-09 12:48:00   \n",
       "4      25          25   129635  2160-11-02 02:06:00  2160-11-05 14:55:00   \n",
       "\n",
       "  DEATHTIME ADMISSION_TYPE         ADMISSION_LOCATION  \\\n",
       "0       NaN      EMERGENCY       EMERGENCY ROOM ADMIT   \n",
       "1       NaN       ELECTIVE  PHYS REFERRAL/NORMAL DELI   \n",
       "2       NaN      EMERGENCY  TRANSFER FROM HOSP/EXTRAM   \n",
       "3       NaN      EMERGENCY  TRANSFER FROM HOSP/EXTRAM   \n",
       "4       NaN      EMERGENCY       EMERGENCY ROOM ADMIT   \n",
       "\n",
       "          DISCHARGE_LOCATION INSURANCE LANGUAGE           RELIGION  \\\n",
       "0  DISC-TRAN CANCER/CHLDRN H   Private      NaN       UNOBTAINABLE   \n",
       "1           HOME HEALTH CARE  Medicare      NaN           CATHOLIC   \n",
       "2           HOME HEALTH CARE  Medicare     ENGL           CATHOLIC   \n",
       "3                       HOME   Private      NaN  PROTESTANT QUAKER   \n",
       "4                       HOME   Private      NaN       UNOBTAINABLE   \n",
       "\n",
       "  MARITAL_STATUS ETHNICITY            EDREGTIME            EDOUTTIME  \\\n",
       "0        MARRIED     WHITE  2196-04-09 10:06:00  2196-04-09 13:24:00   \n",
       "1        MARRIED     WHITE                  NaN                  NaN   \n",
       "2        MARRIED     WHITE                  NaN                  NaN   \n",
       "3         SINGLE     WHITE                  NaN                  NaN   \n",
       "4        MARRIED     WHITE  2160-11-02 01:01:00  2160-11-02 04:27:00   \n",
       "\n",
       "                                           DIAGNOSIS  HOSPITAL_EXPIRE_FLAG  \\\n",
       "0                            BENZODIAZEPINE OVERDOSE                     0   \n",
       "1  CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS...                     0   \n",
       "2                                         BRAIN MASS                     0   \n",
       "3                     INTERIOR MYOCARDIAL INFARCTION                     0   \n",
       "4                            ACUTE CORONARY SYNDROME                     0   \n",
       "\n",
       "   HAS_CHARTEVENTS_DATA  \n",
       "0                     1  \n",
       "1                     1  \n",
       "2                     1  \n",
       "3                     1  \n",
       "4                     1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "admissions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "525887b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mno.matrix(admissions, figsize = (20,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bfd70b84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dd8K6BfKit956S1u3btXMmTNVsGBB9ezZU1WrVj2j72jSpImqVq2qtWvXavHixWrfvj3hEfIsViABAM45p1qJNH78+H9ciXT77bdr/PjxKlu2rBYtWqTY2FjCIwAAAOSqpKQk3XLLLUpISFCfPn00c+ZMFShQQD6f74Tnh4WFKT09XUWKFNG7776rVq1aKSEhQZMmTdI777yjPXv25PIV4Fzl8/l0ySWXKDk5WSNHjtTHH3+sQ4cOBbtZwGkZOnSoBg8erNTUVD3zzDN68cUXtXHjxjP6jksuuUTXXnutMjIyNHLkSO3cuZMACXkWARIA4Jz0b7eza9++vQ4dOqTY2FgtWbJEFStWJDwCAABArpszZ46WLVumNm3aaMqUKZL+et+Rx3PyoZ6IiAhJcreza9WqlbZu3arx48drzpw5hEjIcWamMmXK6NVXX9VNN92k9evXa/To0YRIyNOSkpKUmJjo/vfYsWM1YMAAZWRknHGIlJ6eLknq06eP6tatqzVr1mjp0qU50m4gO7CFHQDgnPVP29lJ0s033xwQIr344osqVKiQRo0apQoVKhAeAQAAICi++uorSdJdd90lScrIyHDf1ek4jg4fPqw9e/bojTfe0KFDh1SkSBE1atRIjRs3lvR3iHTLLbdowYIFmjx5sg4fPqy77rpLMTExwbosnOUcx5HP51PZsmX11FNPSZLee+89jR49WpLUrl07trNDnhIXF6fWrVvrsssu04svvqj8+fMrLCzMHTOYNGmSnnnmGUn6x+3sMjIy3CA/f/78KlasmCIjI933IAF5EQESAOCcdqYhUunSpfX666/LcRz3IR0AAADITQcPHtS2bdsUGRmpggULSvpr5bzP55PH41FcXJxeeOEFffnll1qzZo37czVr1tTNN9+s4cOHS/o7ROrSpYs+/fRTzZkzR/fdd19QrglnP/9zl8fjkc/nU7ly5QiRkKfFx8eradOm2rlzp7p27ereb/0TSc8kRPJ6vW7I37ZtW8XGxmrMmDGKjY3lncrI0xj1AgCcNQ4dOqSwsDBFRUWd0c+dKkSaOHGiPB6PbrrpJrcz59+bmPAIAAAAwVCwYEGVLFlSR48e1bRp01SnTh2VKlVKR44c0Y8//qi77rpLf/zxhySpePHiqlOnjtasWaM//vhDTz75pKKjo9W/f395vV4VKVJEs2bN0kMPPaQxY8aoYMGCbt8YyKrU1FRlZGSoUKFCbk35B8q9Xi8hEvKs+Ph4NWnSRDt37tTgwYM1bNgwSX8Fof76Pd0QyX+umem2227T/PnzVbBgQU2ePFmFCxcmPEKe5pj/BRAAAISwDRs2qF27dho8eLBuvfXWfxXuZH5Q/vDDDzV+/HitWbNGZcqU0dSpU3Xddddld7MBAACAM+Lvs7799tvq27ev9u/fr4YNG+qqq67Sr7/+qg8//FBpaWmqU6eOWrdurbvvvltVq1bVsmXL9OKLL+rNN99U48aN9cEHHygmJua4VfWsskd22bhxo9q1a6cKFSqobdu2atasmerUqeMeNzOZmTwej7Zt26Y+ffrovffeU/Xq1TV8+HBCJATNseHR2LFjJem4oCfz/XLQoEGaNGmSwsPD9cgjj7ghkn9lqJmpc+fOeu+991SpUiUtXLhQFSpUILBHnkePAAAQ8uLj43XllVdq27Zt2rx5879+4D12JZLH41G/fv2Ulpam+vXrZ3OrAQAAgNPnH7j0DzReeeWV6tixo95//30tXLhQCxcudM/t0KGDhgwZourVq7sriho2bKiwsDB98skn+vbbb7Vu3To1btz4uL4z4RGyw5YtW9S0aVMlJibqt99+04IFC1S0aFHVq1dPHTp0UKNGjVSvXj15PB5JUrly5TRlyhRJf61EGjVqlCRWIiH3Zd62btCgQceFR5lDpPDwcKWlpSkqKkoTJkyQ4ziaOHGiuxLprrvu0oUXXihJbngUGxurb7/9VrGxsQT2CAlUKAAgpGWeGTR06FA99thjWfq+zCFSu3btlC9fPtWtW1elS5dmWTkAAACC5th+aOnSpTV48GDVq1dP77//vjZv3qwmTZro0ksv1b333nvC76hdu7bKly+v3bt3Kz09PTeajXNUYmKiUlJS5DiOIiIidMkll2jbtm36+uuv9fXXXys8PFxt2rRRvXr11LlzZ5UqVUqxsbH673//q7CwMM2ZM0cjRoyQRIiE3JOQkKDLLrtMu3fv1oMPPqhx48ZJ+nulkc/nU1hYmH744Qe9/PLLmjFjhqKiotyxgvHjx0uSGyJFRkaqe/fuGjZsmBseLVq0SLGxse47kYC8ji3sAAAhK3N4NGjQILdzlx1Bj3+Z+cn+G8gubFkAAABOJCUlRb///rs+++wz7dy5U0lJSbriiitUqVIltWvXzj3P35fYu3evihYt6n6euU/s//OWLVvUsGFDlSxZUt9++61iYmJy+7JwDvDX5A8//KBbb71VCQkJat26tYYOHao//vhDK1as0Lvvvqt9+/bJ6/WqVKlSKlOmjO6++241adJEFSpU0L333qsFCxaobNmyGjVqFCEScpyZafTo0RozZozCwsJ0++23a8KECSpZsqR8Pp98Pp/Cw8P1448/qkWLFjp06JDmzZuntm3bSgq85w4ePFgTJ05UeHi4qlWrpt9+++248IjJqQgVBEgAgJDkX1a+Y8cODRgwwH1xZXZ3xBjcR3byer3yer3auXOnIiMjVaZMmWA3CQAA5EFbt27VI488okWLFikpKem447fccovuvPNONWnSRNHR0ZJO3m/N/PL2W265Re+++64eeughPfHEE4qMjMzxa8G5x+v1ynEceTwe/fDDD7rlllu0ZcsWde7cWSNHjlT16tX1559/Ki4uTjNmzNDGjRu1atUq9+e7deumtLQ0/fHHH1q9erVq166tRx55RLfccotb70BOSE5O1uTJk/Xyyy/ryJEjuvnmmzVs2DBVrlxZkrRy5Uq1aNFCR48e1dixY/Xoo48G/PyxIdKkSZNkZoRHCGkESACAkJM5PCpbtqzGjBmj7t27S8rewCdzx86/ZJ1ACf/Wvn379Pjjj2vp0qVavXq1ChUqpN69e+vWW29VxYoVg908AACQR2zatElXXXWV4uPj1bBhQ1199dWqVKmS1q9fr7Vr12r+/PmSpDp16ui2227Tfffdp8KFC5+wn+r/zMz06KOP6sknn1SdOnW0YMEClSpVir4tss2RI0e0efNmFSpUSOedd568Xq88Ho8cx9GyZct08803a8uWLbr22mv19NNPq2rVqvJ4PEpNTZXjOHr77bf1+++/a8aMGTpw4IDS09PdHSB8Pp+uvPJKzZs3jwAJOca/68iePXs0fvx4vfLKK26I9Pzzz2vTpk2qX7++UlNTNWHCBDc8OjYQyvzf999/v+bNm6clS5aoQoUKhEcISQRIAICQEh8fr8aNGysxMVGxsbHasmWL6tatqwcffFBdu3ZVZGRktjwIZ+7YvfTSSzIz3XHHHYqKisqOy8A5JikpSW3bttXKlStVoEABeTwepaSkSJLuvPNO9e/fXzVq1AhyKwEAQLAlJiaqVatW+vnnn9WrVy89/fTTAcf37dun77//XnfffbeSkpJUrlw53XXXXerfv78KFix43PelpaVp37596tmzpz7++GNVqlTJfXk7A5nILklJSXr22Wf10UcfKTw8XO+//74qVaok6e8QM3OIdP3112vixImqXr36cc9tcXFx2rJli6ZNm6ZNmzZp6dKlio2N1bfffut+J5BT/PWaOUQ6evSoWrZsqS+//FJpaWkaP368BgwYIOnkW91nvr/u27dPMTEx3HMRsniZA3AO8ufG5McINf53HiUmJmr06NGaM2eOGjZsqNWrV+vZZ5/Vm2++qaNHj7qzLP+tzB27MWPGqGfPnnr99deVmpqaXZeCc8iuXbvUqFEjrVy5UjfccIOWL1+ub7/9VhMnTpQkvfrqq3r99deD3EoAABBsGRkZmjJlin7++Wd1795dTz31lPu5z+eTJBUuXFjXX3+9PvvsMzVq1Ejbtm3TG2+8obfeekvp6ekB37d06VLdeeedaty4sT7++GO1bNlS33//PeERstWWLVt08803a8yYMTp06JCaNm2qjIwM97j/2axhw4Z65513FBsbq3nz5mngwIH6448/3PP8NV6lShU1b95cb775pr788ku99957+uGHH1SpUqWA7wVygr9eixUrpsGDB6tHjx7Kly+f5s2bp7S0NA0cONANj/yr7E4kLCzMremYmBiZGfdchCxWIAHnsJUrV2r//v0qUKCAChYsqIsuusg9xlYGyGvi4uJ0+eWXKzk5WYMGDdK4ceMkSYsXL1bfvn21YsUKXXzxxerdu7duu+22f70S6djwaPjw4SpSpIi+++471a5dO9uvC2e3pKQkNWrUSHFxcXrkkUc0ceLEgHcNPPfcc3r44YclSd9++62aNWsWrKYCAIAgS09PV5MmTZSUlKSffvpJRYsWPWHQ4+/jrl69WnfccYd++eUXtWjRQrNnz1bZsmVlZjp8+LBGjRqlp59+WtWrV1enTp304IMPqnjx4oRHyDabN2/WlVdeqU2bNunmm2/W1KlTVaRIEUVERBx37slWIk2aNEnVq1c/4bmZUbfITZlXIo0bN05vvvmmkpKSdOedd2r06NEqU6YM42Y4ZxAgAeeYvXv3at68eXrvvff0ySefBBzr0aOHrrnmGnXu3FnSyZfiArnt8OHD6tatm+bOnauBAwdq/Pjxkv5+L9GyZcvUq1evLIdIJwuPFi1apFq1auXY9eHslJiYqObNm+uPP/7Q/fffr2effVYej0cZGRnyeDzu/bV9+/aaN2+ePv30U1177bVBbjUAAAiW77//Xs2bN9cVV1yh//3vf4qIiDhpP9bfx12yZImaN28ur9erwYMHa+zYse45W7du1Y8//qhLLrlEZcqUUUREBM94yDaJiYlq3bq11qxZo379+mny5MmSTj0Z9UxCJCDY/PW6e/dujR8/Xq+++qr7TqThw4erUqVKhEg4J9BrAM4h27Zt01133aU777xTX3/9tapWraqmTZvq8ssvlyS98soruvfee9WvXz9JksfjcZfcAsEUHR2t22+/XTNmzHDDI6/Xq/DwcElSw4YN9d///lcNGjTQzz//rKeffvqMt7MjPEJ2GzRokP744w8VLlxY9evXdwdrwsPD3T8fOXJE6enpio6OVmpqqrxe73Hfc6LPAADA2cf/O79EiRKKjIw8ZR/A38dt3LixxowZI0n65ptvtGfPHvl8PpmZypcvr/bt2ys2NtZdEUJ4hOxgZnr++ee1Zs0a3XjjjW545PV63cH0Ez2D+T87dju7AQMGaP369bl3AcBp8N9nixcvriFDhrjb2b3zzjsaM2aMNm3alOXt84FQEB7sBgDIHZs2bVKbNm30+++/q2XLlpo0aZKqVKmimJgYSdK7776ruXPn6oMPPtBTTz2l3bt367XXXnNDJB40EAxpaWnas2ePvvjiC51//vnu6owTbV/gD5H8K5H8Lxw+nZVIPp+P8AjZ7tVXX1VycrI+/fRTDRgwQI7j6Oabb1Z0dLRbw2lpaUpJSdHhw4c1a9Ysvfbaa4qNjVWTJk102WWX6fzzz3drk9ltAACc3fyT93777Tf3peun4u8X1K1bV5K0du1aJScnq1ixYjnZTEBmpm+//Vb58+cPeB9MWFiY22dNT0/XkSNH9PHHHys1NVWVKlVS5cqVVbVqVUl/h0g333yz5s2bp/DwcI0ePZrnL+Qpx74TSfpr8vXbb78tSXrsscdYiYSzHlvYAeeAuLg4NW3aVDt37lSvXr3cgXUpcCB+48aNeu+99zR69GilpqaqZ8+eev755yUxcInct3PnTk2YMEELFizQ+vXrVbVqVU2dOlVXXHGF8ufPf9KfO9Pt7DIHpIRHyCp/PWWuq7Zt2+rzzz9XsWLF9NRTT6ldu3YqUqSIJKlbt26aPXu2HMdR8eLFlZyc7H5XxYoV1bBhQ912222qX7++ypYtG5RrAgAA2e9E/dLk5GQ1bNhQycnJmjVrltq1a3dak/mOHDmiSy65RFu3btUPP/ygmjVr5mTTAe3YsUOXXnqpvF6vFi9erPPPP98NQD0ejzZv3qyZM2fq008/1fLlyyVJYWFhuuKKK9SzZ0916tTJ/a5ly5bp9ttvV1xcnLp3766XXnrJ3WkCyE5ZGdfK/E6k8ePH65VXXtGRI0d0++23a+DAgapSpUo2txbIO1hSAJzl4uPj1axZM+3cuVODBg1ywyP/dgj+GUKSVLVqVd17770aP368oqKi9OKLL2rSpEmSRHiEXLVp0yZdc801+u9//6uwsDB3P/e6deueMjySznw7O/8D+aBBgzRy5EjFxMQQHuFfSUxM1IMPPqh169a57zqS5L7baM+ePerTp4/mz58vSbrzzjs1e/Zs1a5dW19++aWWLl2qJUuWaMqUKWrcuLH27dund955R7fffrtiY2M1adIkpaenB/MSAQBANti0aZNee+017d+/3/3MzJQ/f35dfPHFSklJ0RtvvCHpr77qP21nm5SUpOTkZKWmpiotLS1H2w5If20xHhkZqaSkJM2aNUuS3Hd8rlixQh06dNDYsWO1fPlyFShQQNWqVZP01zaLQ4cO1bx58yT9VfcNGzbUq6++qgYNGmjYsGGER8h2u3fv1o4dO7I0rnXsSqQePXqoYMGCmj59up5//nm2HcdZjRVIwFksISFBl156qXbv3q2HH35YzzzzjKQTb/+V2c6dOzVlyhQ988wzuuSSSzR9+nTVrl07t5qNc9yWLVvUokULxcfHq0ePHvrvf/+r6OjoM/6eY1ci9e3bV507d1a+fPmOO/fQoUOqVauWEhIStHbtWmZt4owlJSXp8ssvV3x8vF5++WX16NFDkpSRkeE+BPtXIhUvXlw1a9bU999/ryuvvFLPPfecLrzwwoDv8z/kPP/88/rpp5+0fPlyahMAgLNAcnKySpUqJUl67rnndPvtt6tw4cLu8aVLl6pJkyYyM/Xr1y/g3TLHPsP5P1u3bp0aN26syy67TPPnz2f7ceQof92NGzdOY8eOVUxMjG666SZdcsklWrVqlaZPn67U1FTVqFFDzZs3V8+ePRUbG6vPP/9cL7/8sr7//nt169ZN06ZNc2vV4/Ho6NGjioyMDOg/A1kVFxen6667Tk2aNNGUKVMC7rf/RuaVSEOGDNGiRYv0+eefKzY2NptaDORBBuCs5PV6bejQoeY4jkVFRVnPnj1tz549Zmbm8/n+8eeXLFliVatWNcdxbPr06TndXMDMzPbs2WPXXHONOY5jffv2dT/PyMj4V9+3dOlSu+yyy8xxHCtfvrzNmTPnuHP8/z/s3LnT1q9f/+8ajnParl273PvlI488YkePHg04np6e7v65bdu25jiOhYWFWc2aNe2nn34ys7/q0OfzmdfrNTNz/52enm4+n8927tyZS1cDAAByWocOHdzntKlTp9r+/fvN7O9+6VNPPWVhYWHmOI4NHTo04Gf952TuX9x0003mOI6NHz/evF7vaT3vAacrLS3N/vzzT9uwYUPA5ytXrrS2bdtadHS0OY4T8M/1119vCxcudGvbb+bMmeY4jhUqVMg2b94ccIy6RXaLi4uz8847zxzHsTFjxmTb9/prde/evbZ3714z+/djFkAoYFoKcJbyeDx68MEH1bt3b0VFRenNN9/UoEGDtG3bthNu43WsRo0a6dZbb5WkgOXlQE7w19aXX36pr7/+WldffbWmTJki6Z9XzJ1Kw4YN9eyzz6pq1apKT0/XFVdccdw5juPI6/WqdOnSuuCCC/79ReCclJSUpEaNGikuLk6PPPKInnjiCUVERARsYRAeHu5uPffJJ5/ommuukc/n044dOxQfH6+UlBQ5jiPHcQJmYUp/bTPqOI5Kly6d+xcHAACylb9/MHfuXHXr1k1HjhxR//79NWvWLB04cMDdXqlTp07q27evHMfRuHHjdN999ykxMVEZGRnuOf4VGn379tX777+vSy+9VHfffbc8Hg/bjyPbJCUlafTo0erUqZPuvPNOrV692j126aWXavjw4erdu7eqVKmikiVLqkOHDpo4caI+/vhjNW/e3F3t4X8/0tVXX61y5copPT1dBw8eDPi7qFtkp/j4eDVp0kQ7d+7UkCFDNHToUEnZM67lH1OLiYlRTEyMzOxfj1kAoYA1ocBZyufz6bzzztOgQYPk9Xo1c+ZMvfXWW/J4PHrsscdUrly5k75A0D9g738HzM6dO7M0iA/8E38dfvzxx/L5fBo4cKAkZcv2BZdddpneeecdlS1bVqVLlz5hLVPb+Dd27dqlxo0bu+HR5MmTFR4e7tZY5lqLiIhQWlqaoqKitGDBAnc7u3vvvVdPPvmkbrrpphNu1ciDNAAAZ4/M/YPXXntNkjRz5kz1799fktSlSxcVKVJE5cqV03333acCBQro8ccf1/Tp07V27VrVrl1b7du3l/TXwP4rr7yi7777TlWrVtXcuXNVokQJ+Xw+trBDtkhISFC3bt303XffqUKFCmrVqpUbCPnHEi677DLVr19f/fr108GDB3XeeecpIiJCUuBEQP+g/c6dO3XgwAFdeuml7nuRgOyWOTwaPHiwxowZIylrk1OP5Q+R/BMBJZ10jA0IdQRIwFkkPj5ey5cvV+fOneXxeOTz+VSqVCl3psXrr7/uvoz1VCGS/xdq4cKFFR4ersqVKzPAjhzl8/l04MABLV26VPnz51eVKlUkKcvhkb++69Wr5/491DKyQ1JSUkB4NHHixBOGR7/99ps++ugjDRo0SFFRUW4o+umnn7ohkn+GcceOHf/V+74AAEDoCAsLc/sDr732mnw+n2bPnq3+/fvL6/WqW7duiomJUdWqVdW7d2/VqlVLDz74oH766Sf98MMPeumll9zvio6OVps2bfTSSy+pbNmyTPpDttm8ebOuvPJKbdq0STfffLOee+45FS5c2A2HMo8hOI6jYsWKqVixYu5nmVdk+OvSzDRq1CilpKSoZcuW1CpyRHx8vBo3bqzExEQNHjxYY8eOlaTjntMOHDigqKgoRUZG/qu/J/P9dseOHTrvvPMIj3DWIkACzhLJycmqWrWqJOnIkSPq1q3bvw6R/L8Iv/vuO2VkZKh69eq5f0E4pziOo/T0dO3bt0/h4eHKnz//GX/H5s2bVbRo0YCXYh7bgWM2JrJDYmKimjZtqri4ON1777164oknAgaD/PfQ9evXq2nTptq7d68uv/xytWjRQuHh4ScMkfr06SPHcdShQwcVKFAg2JcIAABykH9724iICM2cOVN79+7Vp59+qgEDBsjj8ahLly6KiYlRkSJFdNNNN6lOnTr66aefNH/+fO3Zs0eO46hatWq69tprdemll6pIkSKER8g2iYmJ6tChgzZt2qR+/fpp8uTJkk6+9deJBs39n/kn8JmZ+vfvr48//lgNGjTQww8/zLMZsl1cXJyuuOIKJSYmatiwYRoxYoSkv8e4/PW4bNky9enTRyNGjNA111xzxrWY+X47btw4/frrr+rXr58uueSSbL8mIC8gQALOEtHR0erUqZPeffddde/eXT6fT927dz/jEMn/i/Dw4cP69NNPVa1aNXXt2lUSy3GRcxzHUcmSJVWpUiWtW7dO8fHxKlOmzBk9CL/77rs6//zz1b59e+oUOWr69OnauHGjwsLCVL58eXm9Xnk8noBwKHN4NHz4cLVo0cL9+ZOFSN26ddNbb72lzp07B+/iAABAttiyZYsSExNVv379Ex7393HXrVunb775RhERETp69KgeffRROY7jbmcnSdWqVVO1atXUuXNn+Xw++Xy+gJX6rLJHdjEzTZs2TatXr1aHDh3c8Oh0n8uOHTNwHEcHDhzQvffeq3feeUcVK1bU+++/r5IlS7LdIrJVYmKiWrZsqe3bt6tVq1YaOXKkHMfR0aNHFRkZ6dbbjz/+qKuvvlqHDh1SYmJilsKjsWPHatiwYSpevLgmTZqUE5cF5AncqYGzRHR0tF555RX16NFDktSjRw93X+1jQ6Q77rhDHo9Hb7zxhsaMGaNt27a5K0D8s4Puuece/frrr2rXrp3Kly8viXdxIPvs2bNHcXFx7n/7fD4dPnxYpUqVUmpqqmbNmiVJbj3+k127dmnChAkaPHiwdu/enWPtBqS/gvd+/frJ6/Vq+PDhmjRpkvbs2eMO5vz+++9q2rSpdu/erREjRmjkyJGS/n5xtvR3iCRJn376qZo0aSJJ7naLAAAgdO3YsUMVK1bUFVdcoaVLlx53PPNAZoMGDZSamqpJkyape/fuOnLkiPr376/Zs2frwIEDAT8j/fVsd+x7ZRiER3bx+XxauHChoqKiNGDAAEmBW9BJ0tGjR7Vv3z69+uqrmj59uubOnautW7dK+vu9MJL0448/qm/fvrr88sv1zjvvqGnTpvr+++8DJmAB2WXLli0qX768oqOjtX79ek2bNk3p6emKjIzU0aNH3Xtu8+bNlZaWpkmTJqlbt25n9HdkDo/GjBmjYcOGqVixYvr6669Vrly5nLgsIG8wAGeVgwcP2l133WWO45jjOPbqq6+6x7xer5mZJSYmWq9evaxIkSJWqFAh69mzp23atMnMzDIyMqx///7mOI41adLEkpKSzMzM5/Pl+rXg7LRhwwYrW7as9erVy3bv3h1w7PPPP7fw8HCLjo622bNnu5+frP4yMjLMzGzFihVWsGBBu/XWW3Ou4YCZpaenu3/23ysdx7HHH3/czMzWr19vJUqUMMdxbMSIEe65/lo1+/tefKyEhIScaTQAAMhVmzZtsurVq5vjOBYbG2tLliwxs7/6tP4+wcqVK61AgQLm8Xhs/Pjx7s927drVHMexqKgomzp1qu3fvz8o14Bz0+bNm+28886zwoUL2+rVq83sr7r191/j4+Nt5MiR1qBBA7cf7DiOtW3b1t544w33e7Zt22a33XabOY5jVatWtUcffdQdW8jcLway0w8//GDXXnuthYWFWeXKle3pp5+2o0ePmpnZsmXL3HvupEmT3J853XrMfN7jjz9ujuNYTEyMrV27NnsvAsiDCJCAs9C/CZEefvhhS0hIsOHDh5vjOFalShXbsmVLwM8AWRUXF2fly5c3x3Fs6NChxx3fuXOn3XLLLebxeKx58+b2xRdfuMeOrcPMHbjWrVub4zg2Z86cE54LZKfMtdevXz/3XtunTx8rVqyYOY5jI0eOPOH5mf+8bt06O3LkSO40GgAA5KqNGzdao0aN3BBp8eLF7rHM4VHmgUy/O+64gxAJQXHo0CGrW7euOY5jw4cPt8OHD5vZXyHS8uXL7eKLL7bIyEhzHMeKFCliF110kdsXrlu3rn344Yfud3333Xc2bdo0W7t2raWmppoZz2nIGZknnB4bIr322mu2fPnyE95zM9fjsUHSyY4RHuFcRIAEnKX+TYhUv359cxzHypUrZ5s3bzYzZgch+8TFxdl5551njuPYY4895n5+7OqiefPmWc2aNc1xHGvdurXNmzfPPeb1egNmbnq9XuvTp485jmPXXnut7du3L3cuBueEU628zBz8ZF6J5PF47NFHH3WPZV6xlPl++thjj1mDBg3sgw8+yN5GAwCAPCNziFS+fHn7448/bM2aNScdyMzcb/CHSIUKFbJJkyZZSkpKMC4B5xCfz2c+n8+GDx9u+fLls6pVq9r9999v06dPt169ell0dLQ5jmO1atWy+++/39auXWt79+619957zy6//HJzHMfuuuuuU34/kBP8teuXOUQ677zzLCoqyjwejz311FPuOScLiJ577jn79ddfT3iM8AjnKgIk4Cx2JiFSmTJl3AcbwiNkt8zh0ZAhQ9zPT7at12uvvWYVK1Y0x3HsoosusokTJ5rZ34Px6enplpKSYt26dXNXzG3duvW47wGywx9//GG//fabrVq1KmDbRf92CGZmvXv3du+148ePt8OHDwc8xJzowSMyMtLi4uJy5yIAAEBQZA6RypQpY9HR0ebxeNz+rVlg/zVziNSjRw+3r0uAhNzy66+/WsuWLS1fvnwB29Q5jmPXX3+9ffvtt8dN3HvvvffMcRwLCwuzDRs2BKnlONekpaUF/HfmZy5/iBQVFWWO41j79u3dY5knA2b+mYEDB5rjOHbddddZenp6wL157NixhEc4Zzlmp/F2cgAh69ChQ3rkkUf0yiuvSJJeeeUVde/eXdLfL2/dtWuXBg4cqFWrVumjjz5SxYoVA14OCGRFfHy8mjRpop07d2rw4MEaO3aspL9fQOn/94EDB1S4cGH35+bMmaNnn31Wy5Ytk9frVcuWLVW2bFnVrl1bP/30k9asWaPff/9dF198sebNm6fY2FjqFtkmNTVVX3zxhT788EN99NFH8vl8OnTokOrVq6dLLrlEY8aMUdGiRQNe/tu3b189/fTTkqTHH39cPXv2VPHixd17rf/zESNGqFixYvruu+9Us2bNYFweAADIRXFxcbr99tu1bNkyhYeH695779XUqVMlKaCf4JeRkaHw8HBJUp8+ffTQQw+patWqMjM5jpPr7ce5Z+3atZoxY4YWLlyohIQEXXnllbr88svVv3//gPP89ZuUlKT69etr+/btWrt2rapXrx6kluNsl5SUpA8//FALFy7UoUOHVKdOHXXp0kVVqlQJGF+QpCVLlmjcuHH63//+p9jYWPXv31933323IiIi5PP5ZGbuuYMHD9bEiRNVtmxZLV68WBUrVnT/ziFDhmjChAkqUaKEvvnmG9WqVSso1w4ETXDzKwC54eDBg3b33Xe7s4ZeeeUV95h/RkVSUpLt2bPHzAJnvQFZkXnl0bBhw9zPM29BZ2a2dOlSK1SokH322WcBP79s2TIbN26cFSpUyDweT8Dst1q1almvXr0sMTEx4DuBrNqzZ4/dddddVrhwYQsLC7PChQtb3bp1rUCBApY/f35zHMcuv/xye/PNN4+bfZn5nUjjxo2znTt3usdGjRpljuNY0aJFA7ZFAAAAZ7+NGzdagwYN3HcirVix4pTnH/tMxjMacltqaqqlpqbapk2bTrrdl//PP//8sxUuXNgaN25MrSLHbNq0yV3Rmfmfli1b2ltvveXWXuZ6XbJkibVp08bCwsKsUqVK9vTTTx+3naJ/5VG5cuVs06ZNZhZY508++aQ5jmO//PJLLlwlkPewAgkIESeamXYmDh06pN69e2vGjBmSpBkzZujOO++UpICZbMasNmSTnTt3qnbt2tq9e7fatGmjWbNmqWjRovJ6vfJ4PDIzeTwe/fjjj7rqqqt04MABTZo0Sf379z+u3v/880+tXbtWP/30k0qWLKkCBQqobdu2Klq0qPLly8fKI2Sb5ORkXX/99Vq2bJnq16+vESNGqFq1ajr//PO1evVq/fbbbxo0aJC2bdumqlWrqmfPnurevbuKFy/ufsejjz6qKVOmSJImTpyoe+65R1OnTtXw4cMVExOjRYsWsfIIAIBzUFxcnLp27aoffvhB5cqV05w5c9S4ceNgNws4oRONQWQeL8j8DNahQwd99NFHGjx4sEaPHs2zGbJdfHy8mjVrpu3bt6t169a65pprdPToUU2cOFH79u1T48aNNWnSJDVu3Fg+n0+O47i1unTpUj3++ONasGCBKlSooIcfflh9+vSRJA0cOFCTJ08OWHl0ovGFPXv2qFixYrl+3UBeQIAE5HF79+5V0aJFJWU93Dk2RJo6daoeeOCBbGkncKx9+/apZcuWWr16tSpUqKCRI0eqbdu2KlmypNsh+/HHH9W8eXOlpqZq0qRJ6tev33Hf8091T+iJ7LJr1y41bdpUGzZsUNeuXTV9+nRFRkYed97mzZt111136euvv1ZsbKwGDx6sLl26qGDBgu45mUOkVq1aacGCBYRHAACAEAlnBX+4ZGZ69NFH9eSTT6pBgwb65JNPVLJkyWA3D2eZ+Ph4NW7cWImJierfv78mTZrkHvv222/Vo0cPxcfHq2fPnnr++efdY5nHCvwh0v/+9z9VrFhRDz30kHbs2PGP4VHmWmfcAecqAiQgD4uPj1e9evX02GOPHbfX8L916NAh9evXTy+99JJKly6tDRs2qECBAtny3YBfenq6IiIitGfPHnXu3FlfffWVYmNjNWTIEN14440qWbKkVq5cqRYtWig1NVUTJkzQo48+KkknXU107CwiIDslJSWpUaNGiouL0yOPPKKJEycqMjLyuHr0//e2bdv04IMP6uOPP1bNmjX1wgsvqFmzZjpy5Ijy5csnSRowYICeeOIJSVKJEiW0cOFCwiMAAECIhJDn9XqVkpKi++67T++++64qVqyo7777TrGxsVnePQXILD4+Xk2bNtWOHTs0dOhQPf7445Kko0ePupP95s2bp/bt26tUqVJas2aNSpQo4T7DHRsijR49Wl988YUKFSqkffv2/ePKIwASd3Qgj/L5fJo9e7YOHDigL7/8Ur/++mu2fG+BAgX0xBNPqH///lq8eDHhEbLV4cOHJUkRERE6evSoihUrpjlz5uiqq67Sli1bNH78eH399df6+uuv3fBo/Pjxbnjk8/ncDpvX6w34bh5CkFMSExPVpEkTxcXFqXfv3po0adIJwyNJCgsLk8/nU7ly5TR16lTVqVNH69at05gxYyRJ+fLlU0ZGhiRp0qRJuvvuuyWJ8AgAALiqVKmiWbNmqVGjRtq2bZu6dOmib7/9NtjNAk7LihUrNHDgQDVq1EjvvvuumjVrpu+//16xsbHuduVAdti3b58bHjVs2FBdunRxj0VGRsq/JqJ27doqWrSoqlWrppiYmIBnOMdx3LGFyy+/XMOHD1ebNm20b98+lSpVSkuWLCE8Av4Bd3Ugj/J4PGrZsqUuuugiffHFF/ryyy8lSdmxaLBgwYKaNGmSqlSp4g50Alm1ceNG1alTR2+++aakvzp0x4ZICQkJ6tOnj9q0aaPU1FQ98cQTGjBggKTAPbYzd95effVVzZ8/X5JYfYQcMX78eG3YsEERERGqV6+eIiIiTvkA4fF45PP5VL58ec2cOVNFixbVF198oZkzZ0qSwsPD3YeUl156STt27CA8AgAAAfwhUrNmzbRp0yb1799fR48eDXazgFPas2ePHn/8cT355JPyer169NFH9f7776t8+fIMwCPbxcTE6JZbbpHH49Hy5cs1ffp0rVu3zj3uH89KTk52/z19+nS9/vrrmj9/vjIyMpSenu5OApT+CpH69Omjrl27asWKFapQoQK1C/wDtrAD8rjJkydr4MCBioiI0KJFi9SgQYNgNwk4zpEjR9SzZ0+9/vrrKlq0qKZPn64bb7xR0t9Ly/fu3aubb75ZX331lTwej9q3b6+ZM2eqQIECAR22zH/2v0fm1ltv1YwZMxQVFRW0a8TZa9++ferVq5dmz54tx3H0+uuvB8xuOxmv1yszU8+ePfXKK69o2LBhGjVqVMBxHkQAADh75MS7MP7880+3z1u1atVs+U4gs+yu259++kk//PCDrrrqKlWqVElRUVFsW4dsl3mLulGjRmnUqFFyHEcPPfSQHnjgAVWvXt0994YbbtDHH3983Hc0atRIlStXVp8+fVSiRAlVrFjxuO/nmQ34ZwRIQB6VuQN2yy236J133lGrVq00ffp0lS9fPkvffbJ3egBZsXDhQk2dOlVz585VwYIF9dprrx0XIu3Zs0edOnXSN998o4oVK2rYsGG6/vrr3RetZmRkKDw8XJI0aNAgTZo0SSVLlnRnBgHZzX//O3DggB566CE3RJo9e7ZuvfXW0/qOZ599Vo888ohat26tefPmSRL3VOQKXuaLUHKqeqWWESqOHSTPruco//dk7gsD2SU76/ZE92vu4chOe/bsUbFixSQp4P2ymUOkBx54QAMHDlT58uXVsWNHffDBB6pevbqGDh2qlJQU7d27V6+++qp2796tffv2qWjRoipRooTatm2rjh07qkmTJsG8RCDk0DMB8ohjO13+LZI8Ho969uyp1atXa/ny5fryyy/VvXv3fz3DJ3NnccGCBWrVqhUDncgWLVq0UEREhDIyMvTxxx+re/fukqQbb7wxYDu7d999V507d9ZXX32l0aNHKz09XTfffLOKFi2q8PBwmZkGDx6sSZMmqWzZslqyZAnLypGt9uzZo4ULF+rGG29UWFiYvF6vChcurKlTp8rM9MYbb7grkE4VIvnvw6VLl5YkVa1alRpFrmKwBqHEX68bNmzQ0aNHdfDgQdWsWVNRUVHu1p/cQ5HXHDlyRPv379cbb7yhTZs2aefOnapYsaIaNmyoq6++WkWKFMmWv8df+4RHyA45Wbcn6nvQH0F22bRpky6++GJ16tRJM2bMUL58+dwQacSIEZL+CpKef/55RUREaO3atfryyy/Vpk0bPfvss6pcubL7Xd26ddPWrVv17LPPav369frpp580e/ZsDRo0KFiXB4QseidAHvDnn3/q/vvv15AhQ1S7dm13NYa/I9agQQO1atVKzz77rF588UXdeOONKly48BmHSJkfzB9//HGNGDFCjz76qCZOnJj9F4Vzir8WM8/kOVWINGfOHDdEGj9+vHw+n+666y5FRkYGhEeLFy8mPEK2SklJUePGjZWcnKxDhw6pa9euASHSc889J0mnFSL5F3H/8MMPkpTl1aHAPzl06JAWLVqkVatW6dChQ2rVqpVq1aqlokWLMvsXeVpqaqoWLFigDz74QB9++KEyMjKUmpqqyy67TLVq1dK4cePcMB7IK5KSkvTss89q7ty5Ae/ckP4KemrXrq0XX3xRtWvXztI2y8f2c7mfIyuoW4Qqr9ert99+WwcPHtSrr76qggUL6plnnjkuRHIcRyNHjtQzzzwjM9MVV1yhF198UeXLl1d6errCw8PlOI7Kly+v8uXLq2HDhtqzZ48+//xzNW/eXKVKlWLLReBMGYCgSkpKsgsuuMAcx7EKFSrYvffea0uXLj3uvO3bt1vVqlXNcRzr0aPHGf89GRkZ7p8ff/xx83g8FhMTY6tWrcpK8wGXz+dz/7xo0SJr3769OY5jhQoVsvfff989duTIETMz2717t1199dXmOI5VqlTJXnjhBevdu7c5jmPlypWzTZs2mVlg7QJZtW7dOmvfvr3lz5/fLrzwQnvttdfcY/5a279/v3Xp0sUcxzGPx2Nvvvnmcd/jP/fQoUNWu3Ztu+CCC2znzp25cxE4JyUnJ9t1111nhQsXNsdxzHEcq1ixovXt25faQ562Z88e69GjhxUpUsTCw8OtZMmSdumll1rRokUtf/785jiOValSxebOnWsHDhwIdnMBMzNLSEiwpk2bmuM4dsEFF9gDDzxgM2bMsBdffNE6depk559/vvv89uqrr1pycvK/+nu8Xq/75zVr1mRX83GOom4R6jZs2GDDhg1z+we9evVyj6Wlpbl/Hj58uHk8HvN4PNa9e/eT9oUz16of4wvAmSNAAoLsl19+sfPPP98iIyOtaNGi5jiOFS9e3KZNm2b79+8POHfBggUWExNjxYsXt3feeee0/45jwyPHcSwmJsbWrl2bbdeBc0dSUpK98cYbdvfdd9u9995rU6dOtaNHjx533pmGSCVKlDDHcax8+fKER8hRq1evtm7dull4eLhVr179jEOkzHV55513muM4NmDAADt8+HDuXQTOKbt27bILL7zQHMexunXr2t13321169a1iIgIK1GihE2ZMsV8Pt8JH5KBYEpKSrLLL7/cHMexyy67zD755BPbuHGjpaWl2dq1a+3ll1+2evXqmeM4VrZsWZs6deq/HtAEsktcXJxVqVLFHMexzp07H/dMlpKSYuvWrbMmTZqY4zhWunRpmzp16hkHoJn7E8OHDzfHcU44aQU4HdQtQlnmPmxcXJwNHTr0tEIk/7Paww8/bL/99luuthk4lxAgAXnAnDlzzHEc69Kliw0ZMsSdGXTjjTfaBx984J63c+dOu+eee8xxHLv11lvdTmHmlR/HIjxCdtq8ebM1bdrUIiMj3RnwjuPY/fffb0lJSWYWWHOnGyK1atXKHMex2NhY27x583HfA2SHzPfKVatWZSlEMjMbNmyYOY5j9evXt23btuXOReCcs2vXLncF8j333OPWZ2JiohtgNmrUyD3/VH0CIDft2rXLqlWrZo7j2B133BEw2SRzne7du9f+85//uAOar732WsAAEZCb4uLi7LzzzjPHcezRRx91P8/IyHDr1v/vtLQ0u+GGG9wAdO7cue65/+TYZ7SwsDDLly8fqznwr1C3CHXH/t7fsGHDaYVIo0aNcp/VevXqZb///nuutRk4lxAgAUGU+eH5vvvuswIFCtinn35qGzZssN69e1tkZKTlz5/fevbs6c5sX7x4sbt9zbRp0075/YRHyE5xcXFWvnx5cxzHWrZsaQMHDrQHHnjADZGGDBninnum29klJSXZzTffzMoj5IjM9ZjVEOm9994zM7PRo0e7D95//PFHLl0JzjWZw6NevXq598zU1FQz+2t720KFCln58uWPm2nMaiQE07G16w+P0tPTA87z32uPHDniDmhWqFDBli1bFnAcyA2Z+7pDhgxx76MnqkN/LR85csQNQCtXruxuo/RvJvj9+uuv2Xk5OEdQtwhVu3btshkzZtjdd99tbdu2tcmTJ9v333/vHj/dEGnkyJEBIdL69etz9TqAcwEBEhAEJ+qYLVq0yCpWrGhlypSx7du3m5nZwoULrXbt2uY4jtWrV8/eeOMNMzObNWuWOY5jRYsWDfgFm1nmgSPCI2RVXFyclSlTxhzHsX79+gUce/nll936yjzjJ3MNnk6I5P//4tjBJeDfSktLcwfa/Y7d5uvfhEi33HKLew/moRk5JTEx0SpXruwOCPnvjZkHhnbt2mUXX3yxdenSxV555RV75plnbNq0aTw4I6hOVrsnC4P8n6elpblbK9WrV8/27duXa20GkpOT3Ul6119/vfu5v596Iv7a3bt3r7sVY/fu3U+4tfOxP2PGMxqyjrpFqNq0aZO7xW3mfy6++GJ7/vnn3fM2btx4RiFSvnz57M4777QNGzbk6vUAZzsCJCAX7dix47iZ6pkHMv3Lb3v06GF79uwxM7MtW7bYiBEjrHLlyubxeKx9+/b2ww8/2N13333c1mEn4t8XtmjRonTw8K/ExcVZ2bJlzXEcGzx4sPu5/yEjLS3NLrroIqtdu7bt3bv3pN9zbIjkX8lhxkx5ZL/ExES79tprrU2bNvbZZ5/ZqlWrAo5nDirPNETyv7OL8Ag5xefz2WOPPebW23PPPWdmf90rMzIy3Lr8+uuv3S1Fw8LC3PMLFixob7/9Nu/lQq47Ve2e6ne9/57822+/2fnnn2/h4eHu+z7ZlhG5Ydu2bXbbbbe5tfvqq6+6x05Vu/778YwZMyw6OtoaNGhgKSkppzzXjEF4ZA/qFqEoLi7OypUrZ47jWKtWrWzy5Mk2YMAAq1atmnk8HitfvnzA81h8fPxphUj++ixfvrw7ngYgexAgAblk69atVrhwYYuOjrYPPvjAEhMT3WOZZ/s0a9bMYmJi7OOPP3Y/O3z4sK1du9bd2qNAgQLWtGlTd/ukr7/++oR/5/z5861gwYKWL18+Onj4VzZv3mwlSpQwx3Hs4Ycfdj/P/CCRnJxsl112mV111VXWv39/e/jhh23QoEE2d+7c42a/ZQ6RihQpYh9++GGuXQvOHXv37nW3TvLfMwsWLGj33Xef/fe//7U9e/bYoUOHAn5m5cqV1rVr138Mkdq0aWOO49i6dety9Zpw7omPj7eHHnrIrWP/bEz/gNC6deusePHi5jiOdezY0ebOnWvTpk1z+wrR0dE2Z84cM2MAHrnrZLVrduoBTZ/PZykpKda5c2dzHMf69++fG80FXAkJCfbggw+6tfviiy+6x/5pslPme/LSpUuPO84gPHIKdYtQknlnkwEDBgQc+9///metW7e28PBwa9euXcBE6dMNkZ588kl3W3z6v0D2IUACcsncuXOtTp065jiORURE2B133BEQEvlnXn733XdWqlQpa9my5Qm/58knn7SGDRsGLPNt1qzZCX85/v777zZgwAAGOvGveL1eGzZsmHk8HouKirJ7773XkpOT3WP+B4pPP/3U7cgVKVLErcuYmBjr0aPHcVuILVq0yNq1a2eO41jFihXtm2++ye1Lw1nuo48+ssqVK1tERIQ5jmM1atSwqKgod6XG+eefb23btrV33nknYGXS+vXr7bbbbrPw8HCrVq3aCUOkAwcO2NatW3P7knCOSkhIOOFA/Pr1690Bn6FDhwb8THp6unXq1Mkcx7HixYvbxo0bg9F0nOOOrd0zGdCcPn26G4xmZGSwShm56t8Mxnu9XktPT7fLL7/c8uXLZ2vWrDnp9/u3WWIQHtmJukUoyBwejRo1yv0883jBu+++ax6PxxzHscWLFwf8/KlCpGPHHNgWH8heBEhALsnIyLDU1FTr06ePFS1a1BzHscKFC9vQoUPt4MGDbsdu9+7d9vDDD5vjOPbYY4+5P595ldLKlSvdTtx5551n8fHxJ/17T7X/MfBPdu7caf369bOYmBgrVKiQ3X333bZ582b3+IoVK6xAgQLmOI7dc889tnz5cvvkk0/svvvucwc3e/Tocdye2gsXLrSrr77aHMexLl26WHJyMjOEkK3efPNNq1+/vnk8HuvWrZv997//tblz59pVV11llSpVch+wixQpYp06dbIXX3zRtm3bZitWrLAHHnjAIiMjrUaNGjZjxgz3O3mZO4Lh2EGhUaNGWcmSJc1xHBs2bJh7Xnp6utuX2LJli1188cWWP3/+k65SBnLamQ5o+vsB/nd93n///bnWVpy7/HWXuSb/zWB8QkKClStXzqKjowPeCZrZu+++666MZhAeWUHdItTs27fPnQhds2ZNdxKf//nKX9NHjx51383l3/I+8zjBsSFSnz59cvdCgHMUARKQC459afsHH3xgd9xxh9u5a9u2rc2cOdN9WfDatWutTJkyVqJECfviiy/cnzu24/f111/bli1bzIwZFsg+x9bSrl27rHfv3la0aFErWLCg3X333Xb06FH77bffrECBAubxeGzcuHEBP5OQkGAjRoywwoULW8WKFW3ZsmVm9ncNe71ee+ONN6xIkSJWunRp++2333Ln4nDWSklJcVfI+b355ptWq1YtCwsLs9tuu81+//13y8jIsMTERJsyZYp169bNoqOj3XtxsWLF7NZbb7U777zTfZF7/fr13Xd4ALnp2EGhzKs5PB6PPfHEEyc81+yvh3T/qufZs2fnWpsBs38/oOkfROrTp485jmPjx4/PnQYDJ7B58+bTql1/v/mLL76wyMhIu/nmm0/6nQsXLrSuXbsyCI8cQ90irzpy5IgNGTLEqlatahEREdapUydbuXKle9xfk4cPH7bzzz/fzjvvvJPupOMPkQoXLmyO49jw4cNz5RqAcxkBEpCLMs9e3717t7399tvuKo3ixYvbDTfc4K7u+OijjywsLMy6d+/+j6uImBWP7BIXF2cDBgyw1atXB3yeOUQqXLiwdejQwaKjo83j8djEiRPd8zKvNPrzzz+tRo0a5jiOvf766+7n/hlEaWlpdvnll5vjOPbKK6/k8JXhbJaYmGgNGjSwnj17WkpKSsAstbfeestq1aplHo/HbrrpJluxYkXAz/722282e/Zs69Chg5UtWzZge9Dw8HBzHMeaN2/uBvxATvnjjz9sw4YN9scff5jZ8bOLN2/ebPfdd59bny+99JJ73H+Ovz9w9OhRq1GjhlWtWvWUq5SB7HA6tftPA5r+2j18+LDVrl3bLrjgAtu2bVtuXgbOEfv377c1a9bYuHHjrFevXtarVy+bPHmyLVmy5LgtkP6pdjM/g11xxRUWHR1t77zzjnv8RI59ByNwOqhbnA2OHDli48ePt3LlyllERITdeOONx407DBw40BzHseuuu8727t170u/atGmTPfLII/R1gVxCgATkgKNHj1pKSop99tln9vnnn9sHH3xgCQkJlpKScty5q1atsgceeMAqVKhgjuNYbGysvfTSS7ZixQp3trH/JdhATtq/f7+7LdIDDzxw3CyzXbt2WZ8+faxYsWLuDPghQ4a4xzM/jPhnELVv394cx7GXX37ZPZZ5cL9hw4ZWtGjR4/Y3Bk7Xrl277Pzzz3e3/fQ/+B4bIl100UXm8Xisc+fOJ3xJsJnZxo0bbfbs2da5c2eLjY01x3EsKirKfv3111y5Fpx79u/fb1OmTLHrr7/eChUqZIULF7bChQvbddddZ0OGDLEDBw4EnL9582a7//77j3snklnglrW9evUyx3GsU6dOhJ/IEf+mdk82oJm5du+8805zHMceffRRBiyR7bZu3Wo33nij+w6OzP+ULl3amjdvbuvWrQuoyZPVbub+Rs+ePc1xHLvtttuOq30/tmrGv0XdIlT98ccfds8991h6ero7VnBsiHTDDTe4u5GMHz/eHMexUqVKuZ+dqga3bNni9nPZkQfIWQRIQDbbsWOH9e3b1y699NKAzl2VKlXsyiuvtCVLllhaWlrAz+zevdu+/fZba9q0qTmOY4UKFbLrrrvO7r//fqtatarFxsbazz//HKQrwrlk5MiR7ksr77vvvhOGSL1797bSpUtbeHi43X///bZr1y4zO37GcXp6ul100UVWtmzZ42YWmZmNHj3aHMexJk2aWGJiYg5fGc5Gu3btsqpVq5rjONa7d2/3weFE+8IfGyItX77cPXbsA0d6erolJSXZ9OnTmdGGHJOUlGTNmzd33ytQunTpgPdz+feInz9/fsDAzubNmwO2s8s8EG/29701NjbWNm7cmNuXhXNAVmr3ZCGSmdnw4cPdrUO3bt2a25eFs1x8fLxVq1bNrbFHH33UJkyYYMOGDbMaNWq4k6jOP/98e+ONNwK2xT22djOH9wMGDDDHcaxOnTq2Y8cOMzv5Kg7gTFG3CFX79++3Cy+80CpUqOB+dqIQKTIy0jp27OhOfipUqJD99NNPZnb6NUnQCeQ8AiQgG8XHx9tFF11kjuNYhQoVrGHDhnbddddZhQoV3P1ZCxQoYKNHjz7hSyozMjJs6NChVqtWLXf7pIIFC1rBggXt4YcfZhYxckzmztnkyZPdB41ThUgxMTFWqFAhu/vuuy0hIcHM/t7Czuv12r333muO41jHjh2PW32XkpJiXbp0sUqVKvH+I/wrJwuPjt3S81QrkTKHSJnPY1tQ5LTk5GS3v9CmTRtbuXKlbdq0ybZv325fffWV9erVy6pUqWKO41jlypXtpZdeOuWgkH8bUH94VLRoUVbOIUfkdO2WLVvW3QoPyC47duyw2rVrm+M41qtXr+OOx8fH2zvvvONuvVyhQgWbNm1aQAB67Pu8XnjhhYDA3t8Xpg+B7ELdIpRt2rTJypQpYx6PJ2D3B/+4Q+YQyV+fBQsWdPsArCgC8hYCJCCbbN261Z0d1L17d9u1a5e79caWLVvszTfftKuvvtocx7Ho6Gi79957bc2aNe7PZ545v2jRInd2sf8dHI0bN2YrD+SofxsiFSxY0O699153pYbX63X3Lj7//PNt+/btZnb8zKBt27Yxwxj/yj+FR5nfpXHsw8fphkhATjl06JB17NjRHMexnj17Bmw546/BAwcO2LJly+ziiy92B4Vmz54dcO6xg0IdOnQgPEKOonYRio4ePer2S3v06BHw+bGz2xMSEqxu3brmOI5VqlTJPvvsMzP7u4+ckJAQsALUcRwrV66cbdq0ycwYhEf2oW5xNujatavly5fPPv/884DPM4dI48aNcyeetGzZkvcfAnkUARKQDVJSUqxTp07uYGZmmTtkGRkZ1q1bN3Mcx/Lnz299+/Z1Z/2YHb9Ed+bMmVazZk274IILLC4uzswY4ETOykqI9OCDD9rmzZvdLWjKlStnmzdvNrNTrwoBzkRiYqIb1vfr1899cfCx4dGvv/5qrVq1si+//NK8Xu9pb2dHbSKnLVy40AoXLmyNGzd269Jft8fWX3JysjsodP7557v3Yf95xw7ElyxZkgF45BhqF6HowIEDVr9+fatcubLt2bPHzE48YO6v6eTkZDcArVGjxnHvhsk8GF+mTJmT9nWBrKBuEcr8v+sfffRRcxzHHnroIfP5fAHPY/4/p6Wl2dixYy02NtYiIyPthhtusFWrVgWj2QBOgQAJyAZr1661MmXKWKNGjdzPju2MZf5led9997lLdF9//fXjjmd+CP/5559t9+7dZsYyXuSOzLX4xBNPuIM7995773EhUlJSkvXp08cNkfzv/mJWG3LCvn377MILLzTHcew///lPwD7aZn/X2u+//24lSpQwx3Hs5Zdfdn/+ZCHS7bffbkuWLMnFK8G5bPDgweY4jr366qtmdvLf7f563rJli7s9zRVXXOGGpn4JCQl2++23W2RkJAPwyFHULkLR/PnzA3ZzONU7Nfy1u2LFCnel84ABA8zr9QY8n8XHx9ugQYPo6yLHULcIZf66+/rrr83j8ViHDh1OeF7mlUgTJkyw8uXLW0REhHXo0IEQCchjPAKQZZ9++qkSExPVtm1bSVJGRobCwsICzvF4PPJ6vZKkF198UTfccIMOHTqk/v37Kz4+Xh7P3/87Oo4jM5Mk1a5dW8WKFZPP51N4eHguXRHOZps2bdLMmTN14MCBEx73eDzy+XySpH79+mny5MmSpOnTp2vq1Kn6448/JElmphIlSmjIkCG68847VahQIf30008qV66clixZoooVK8rr9R73/wLwb/3+++8qWLCgoqKiFB8fr1mzZsnn8ykyMlJHjx5VWFiY1q9fr6ZNm2r37t0aMWKE7rrrLvfnM9f2Lbfcoscee0x16tTRm2++qZdffllpaWnBujScA/y1t27dOklSxYoVJemkv9vDwsLk8/lUvnx5jRkzRiVLltS6deu0fPnygO+LjY3VxIkTtXnzZtWsWTOnLwPnIGoXoSw8PFzh4eGqWLGioqOjA565juXvs1544YVq3769JOnnn3+W4zhyHMc9r1KlSho7dqwqVqx4wuc+IKuoW4QqM3PrrmzZsgoPD9eSJUuUkJDg/v738z+bRUZGqk+fPnrwwQdVunRpffLJJxo9erTWrFkTjEsAcAIESEA22LVrl6S/H6hP1sELCwtzQ6QpU6aoTp06Sk5O1meffSZJbmgkKaCzd6rvBM5EUlKSqlSpou7du+vtt99WSkrKCc87WYg0bdo0zZw5U+np6XIcR16v1w2R2rRpozp16mjRokWqUKEC4RGyXcOGDTVlyhQ1adJEGzdu1Lhx4/TSSy+5Dx7r1q1zw6Phw4drxIgRkuTed6XA2u7cubN69+6txo0bq3///oqKigrKdeHc4P8dv2/fvoB/n4r/d3/9+vVVunRp7d69W4sWLQo4JknlypVTmTJlsrfBwP+jdhHK0tPTlZGRoR9//FHbtm07rZ8pWLCg2rdvL4/Ho2+//Va//fbbcef465gJfsgJ1C1CxZ9//qmHHnpIL730kn766aeAeq1evbouu+wy7dq1S9u3bz/hmFbmEKlv375uiLRgwQL16dNHv/76a25eDoCTYEQayAL/oKR/ED4hIUHSqcMe/4B6mTJlVKtWLUnS0qVLJR0fGgHZrWTJku5KuT59+uiNN9447RBpzJgxkqRx48Zp3rx5kv6qZ/9KpIkTJ+qbb75hVhty1BVXXKFhw4apZcuW2rhxo6ZMmaI5c+Zo/fr1at68uRsejRw5UpICgkz/PTvzPbpbt276/PPPVaNGjVy/Fpxb/HVYt25dSdLq1asl/bVq+Z9UqFBBN910k6S/VpFKgZNOgJxE7SKUVa9eXRUrVtTevXuVmJgoKXBiybHsr23+VaNGDVWpUuW4VRxAbqBuEQr27dunq666Ss8//7x69uypJk2aqH79+urcubP69eun5cuXK1++fJKkn376yf05fz8g87NZ5hCpV69e8nq9io+PV+nSpXP/wgAchwAJyAL/A/Ull1wiSVqxYoUOHjx43NLcY5mZ8ufPrxtuuEGStHXrVnm9Xh6okSvmzZunW2+9VampqerXr99ph0hDhgzR/fffL0maNGmSdu/eLenvLReLFy+umJgYmRmz2pAtfD6fDh06pJkzZ+rrr792P88cIsXFxWnw4MG67LLLtHv3bj3++OMnDY/8f545c6bi4uLc7ytUqFDuXRTOWf7f8VWrVpUkvfnmm0pOTlZ4ePgp+w3+Y8fWKQNDyC3ULvI6f42a2XE1WalSJdWoUUPJycnq27evDhw44G6zeCL+gff09HSlpqbK6/X+47Md8G9Qtwh14eHheuGFFzRt2jR1795dDRo00IEDB/TBBx/oqaeeUpMmTdxnuDfffFNvvPGGli9fru3bt0tSwIRTj8ejjIwMRUZGqlevXpoyZYoWLVqkEiVKUMtAHkCABPxLmcOeCy64QBEREfrf//6nNWvWBAy6n4j/wdk/yO5fxUGAhJyQlpamX375xZ29JklvvPHGGYVI/tlB3bp1U8mSJZWYmBgwCy7zYBADQ8gOKSkpmjx5slq1aqXu3bvr6quv1jfffOMezxwi7dixQykpKWrbtq2GDh0qSe47kaTA8Ojxxx9X9+7d9fDDDys9PT33LwznLP+9sXv37qpdu7Y2btyo3r1769ChQ6fsN/jvtXv27JEkZmIi11G7yOv8NWpmx73j03EcjRgxQrGxsfruu+80evRoHT58+KS1m7luU1JS1KxZM3fXCCA7UbcIVdu3b9f//vc/RUREqG3btrrnnnv0yiuv6Msvv9SKFSv0xRdfqH///rrllltUtmxZRUZGasmSJeratauaNWumxo0bq1OnTho4cKC+++47d7tF//hYvnz59OCDD6pcuXLyer28zgHIA/i/EDhDhw8flhQ4SH7llVfqhhtuUGpqqrp3764NGzac8oHaP2iZlJQkSapZs6bCw8P5xYhst2vXLo0ePVrt27dX/fr1tXXrVvfYmYRI/sH38uXLKyIiQtu3b3dnDgHZLTk5WR07dtTgwYOVkJCg2267TS+//HLAg7b0V4g0dOhQtWjRQmFhYfrjjz/06quvulsg+Hy+48KjESNGKCYmRpMnT1ZERETQrhFnvwULFmju3LmaMWOGvvzySx08eFDSX6sxHnnkERUrVkwff/yxJk6c6A4KHbs9jdfrdet04cKFKlasmNq1ayeJbcCQc6hdhJJDhw5pzZo16tOnj1q0aKFq1arpmmuuUdeuXfXLL78oJSVFl1xyiW6//XZFR0dr5syZmjBhghuAZt6K0b8Fs5lp5MiROnDggFq0aMFEP2Q76hahKj4+XtWrV9fAgQMVHx8v6e8Vx5GRkapVq5aaN2+uSZMmadasWZoyZYq8Xq+KFCmiW2+9VbVr11ZSUpLmzp2ryZMnq2XLlqpdu7batWundu3aue9L9GNbfCCPMAD/KDEx0Z5++mlr3769XXnllXbffffZqlWr7PDhw+45a9assUsvvdQcx7FWrVrZxo0bzczM6/UGfFdGRob75yuuuMLy589vn332mZmZ+Xy+XLganCs2b95szZo1M8dxrGbNmtazZ0/7/fffzSywDm+77TZzHMeio6PthRdesAMHDhz3Xf7zt27daqVKlbImTZpYampq7lwIzilJSUlWvXp1cxzH2rRpY1u2bAm415oF1q+Z2ddff21XX321eTweq1atmr3wwgvHfe/o0aPNcRwrVqyY/frrrzl6DTh3HTx40F566SW7/vrrzXEcCwsLM8dxLDw83OrWrWuzZs2y7du32/79++3++++3fPnyWcmSJa1///7H3Xsz9x8GDhzo/j+xe/fu3L4snAOoXYSinTt32gMPPGBly5Y1x3HM4/GY4zgWGRlpjuNYxYoVrW/fvhYfH2/JycnWpUsXy5cvnxUqVMi6du1qycnJJ/ze3r17m+M4dtlll1lSUlIuXxXOdtQtQlVcXJxbt3379j3luf6xrV27dtkFF1xgZcuWtb1795rP57Off/7ZPv30U+vVq5d16tTJChcubI7jmOM4tnXr1ty4FABniAAJ+AebNm2yyy67zP2F5u/gNWjQwF566SU7dOiQmZkdOnTIZsyYYVWqVDHHcaxp06a2bt26k36vv4PXqlUr27t3by5dDc4VmzZtsooVK5rjOHbrrbfavn373AEdf2cuPT3dPT9ziPTcc88FDPKkpaW5f+7WrZs5jmMDBw4M+HkgO+zbt8+uuOIKcxzHHnzwQTt69KiZWUDtZq67TZs2uX/+5ptvAkKk5557zj02cuRIcxzHihYtSniEHLN7927r1KmTW2u1atWy7t27W9OmTd37cfHixa1z5862YcMGS0xMtNtvv90KFChgjuNYixYtbPXq1bZjxw4zM0tNTbWDBw/agw8+aI7jWPny5W3Dhg1BvkqcjahdhKJNmzbZJZdcYo7jWL169ey///2v/fjjj7ZkyRKbO3euNW7c2B2Ub926ta1fv94SExOtZ8+eVrx4cXMcx6pVq2aPP/64ffTRR7Zo0SJ78803rWXLluY4jlWtWtUSEhLM7PgJgcC/Rd0iVMXFxdl5551njuPY0KFD3c//qc7S09Pd+vzkk09O+t1r1qxx+xHHThYEEHwESMApxMXFWbly5cxxHLv++uvt5ZdftmnTprkP03Xq1LEFCxa45+/bt8+eeeYZq1GjhjvT/fnnn7fvv//eMjIybPv27fbHH3+4D+lVq1Z1Z1jQwUN2SUxMdFfD9e/f3/38RDWWeTD+1ltvdUOkkSNH2qpVqwLO7du3rzmOYxdffLElJibmWPtxbsrIyLDhw4eb4zjWrl07O3LkiPt55nP8unXrZh06dAio08whUvXq1W3atGnuyiPCI+SkXbt2uQNCV1xxhf3888+2a9cuM/trgsnWrVutS5cuVrp0aXMcx5o1a2br16+35ORkGzRokMXGxprjOFa6dGmrVauW3XHHHXbllVe6q/GqVatmv/32W5CvEmcjahehKC4uzipUqGCO49hdd911wklNhw8ftpEjR1rVqlXd2t2wYYPt37/fpk+fbrVr13YnCGb+Jzo62tq0aeM+ozGQiexC3SJUZQ6PhgwZ4n7ur7PMO+lk/rN//MG/Gvnxxx8/4XmZ/0ztAnkTARJwEpl/SQ4YMCDg2M8//2x169Y1x3Hs5ptvDjh24MABe//99+3KK680x3EsIiLCIiIirF69ela+fHmLiYlxl5b7ZwfxSxLZacyYMeY4jt1www3uZ6dbY126dHFnvdWoUcP69+9vgwYNskaNGpnjOFalShXbvHnzGX0ncDpSUlKsUaNGVqFChRPOPsv8kN2jRw/3gblHjx62evVq91jmEKlkyZKER8hxu3btcgd67rnnHjf89PPX8cGDB+2pp56ymjVrmuM41rp1a4uPj7ejR4/akiVL7D//+Y+VL18+YLXzxRdfbL169XLvu0B2onYRiuLi4qxMmTLHPaOdqM+QmppqL730klu7nTt3tu3bt5uZ2f79++2JJ56wBx54wBo2bGitWrWy3r172//+9z/bt2/fcd8JZAV1i1CVeVxs8ODB7uf+OvOHRHFxcSf9jvfff9/dGcWMVzcAoYgACTiBzHu7Zl6ee/ToUfcX5A8//GCO41hMTIxt3rzZMjIyAn4Rpqam2rBhw6xNmzZWqFAhK168uBUoUMBat25tTzzxhLsvMR08ZLerr77awsPD7dtvvzWz42cGpaam2t69e+3ll1+2J5980j788ENbsWKF+/OPPfaYXXTRRQGz2ooVK2bXX3+9bdu2LeA7gezy3nvvuQOThw8fPumqzO7du5vjOFa7dm13wPKOO+44LkS69tprzXEcK1SoEOERcsyuXbvs/PPPN8dxrE+fPu6Wn8feI/31nJaWZi+99JJVrVrVIiMjrW/fvu77Y7xer/3+++/24Ycf2rx58+yDDz6wvXv3HjeoD2QHaheh6GTPaCfql/r7vWlpafbUU09ZqVKlrHjx4jZr1qzjzj3Rz7M7BLILdYtQ9U+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      "text/plain": [
       "<Figure size 2000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mno.matrix(patients, figsize = (20,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "110e3f0e",
   "metadata": {},
   "source": [
    "## Icustays: \n",
    "There are 10 missing values in the OUTTIME and LOS columns. Since the number of missing values is very small compared to the total number of entries, one approach could be to simply remove these rows from the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "53b5930a",
   "metadata": {},
   "outputs": [],
   "source": [
    "icustays = icustays.dropna(subset=['OUTTIME', 'LOS'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b42e86a5",
   "metadata": {},
   "source": [
    "# Religion column in admissions \n",
    "As there are less number of values missing we can replace with the mode of the column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fd643cd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "most_common = admissions['RELIGION'].mode()[0]\n",
    "admissions['RELIGION'] = admissions['RELIGION'].fillna(most_common)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a9c9c9d",
   "metadata": {},
   "source": [
    "## Add age to icustays: \n",
    "We calculate the age of the patient at the time of their ICU stay. We do this by subtracting the patient's date of birth from the ICU admission time. If the calculated age is greater than 89, we set it to 300 to maintain patient anonymity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "be13e9d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "icustays['INTIME'] = pd.to_datetime(icustays['INTIME'], format = '%Y-%m-%d %H:%M:%S', errors = 'coerce')\n",
    "patients['DOB'] = pd.to_datetime(patients['DOB'], format = '%Y-%m-%d %H:%M:%S', errors = 'coerce')\n",
    "\n",
    "icustays = icustays.merge(patients[['SUBJECT_ID', 'GENDER','DOB']], on='SUBJECT_ID', how='left')\n",
    "icustays['AGE'] = (icustays['INTIME'].dt.year - icustays['DOB'].dt.year)\n",
    "icustays.loc[icustays['AGE'] > 89, 'AGE'] = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e77c07f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROW_ID</th>\n",
       "      <th>SUBJECT_ID</th>\n",
       "      <th>HADM_ID</th>\n",
       "      <th>ICUSTAY_ID</th>\n",
       "      <th>DBSOURCE</th>\n",
       "      <th>FIRST_CAREUNIT</th>\n",
       "      <th>LAST_CAREUNIT</th>\n",
       "      <th>FIRST_WARDID</th>\n",
       "      <th>LAST_WARDID</th>\n",
       "      <th>INTIME</th>\n",
       "      <th>OUTTIME</th>\n",
       "      <th>LOS</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DOB</th>\n",
       "      <th>AGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>365</td>\n",
       "      <td>268</td>\n",
       "      <td>110404</td>\n",
       "      <td>280836</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>MICU</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>2198-02-14 23:27:38</td>\n",
       "      <td>2198-02-18 05:26:11</td>\n",
       "      <td>3.2490</td>\n",
       "      <td>F</td>\n",
       "      <td>2132-02-21</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>366</td>\n",
       "      <td>269</td>\n",
       "      <td>106296</td>\n",
       "      <td>206613</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>MICU</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>2170-11-05 11:05:29</td>\n",
       "      <td>2170-11-08 17:46:57</td>\n",
       "      <td>3.2788</td>\n",
       "      <td>M</td>\n",
       "      <td>2130-09-30</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>367</td>\n",
       "      <td>270</td>\n",
       "      <td>188028</td>\n",
       "      <td>220345</td>\n",
       "      <td>carevue</td>\n",
       "      <td>CCU</td>\n",
       "      <td>CCU</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>2128-06-24 15:05:20</td>\n",
       "      <td>2128-06-27 12:32:29</td>\n",
       "      <td>2.8939</td>\n",
       "      <td>M</td>\n",
       "      <td>2048-05-26</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>368</td>\n",
       "      <td>271</td>\n",
       "      <td>173727</td>\n",
       "      <td>249196</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>SICU</td>\n",
       "      <td>52</td>\n",
       "      <td>23</td>\n",
       "      <td>2120-08-07 23:12:42</td>\n",
       "      <td>2120-08-10 00:39:04</td>\n",
       "      <td>2.0600</td>\n",
       "      <td>F</td>\n",
       "      <td>2074-11-30</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>369</td>\n",
       "      <td>272</td>\n",
       "      <td>164716</td>\n",
       "      <td>210407</td>\n",
       "      <td>carevue</td>\n",
       "      <td>CCU</td>\n",
       "      <td>CCU</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>2186-12-25 21:08:04</td>\n",
       "      <td>2186-12-27 12:01:13</td>\n",
       "      <td>1.6202</td>\n",
       "      <td>M</td>\n",
       "      <td>2119-11-21</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ROW_ID  SUBJECT_ID  HADM_ID  ICUSTAY_ID DBSOURCE FIRST_CAREUNIT  \\\n",
       "0     365         268   110404      280836  carevue           MICU   \n",
       "1     366         269   106296      206613  carevue           MICU   \n",
       "2     367         270   188028      220345  carevue            CCU   \n",
       "3     368         271   173727      249196  carevue           MICU   \n",
       "4     369         272   164716      210407  carevue            CCU   \n",
       "\n",
       "  LAST_CAREUNIT  FIRST_WARDID  LAST_WARDID              INTIME  \\\n",
       "0          MICU            52           52 2198-02-14 23:27:38   \n",
       "1          MICU            52           52 2170-11-05 11:05:29   \n",
       "2           CCU            57           57 2128-06-24 15:05:20   \n",
       "3          SICU            52           23 2120-08-07 23:12:42   \n",
       "4           CCU            57           57 2186-12-25 21:08:04   \n",
       "\n",
       "               OUTTIME     LOS GENDER        DOB  AGE  \n",
       "0  2198-02-18 05:26:11  3.2490      F 2132-02-21   66  \n",
       "1  2170-11-08 17:46:57  3.2788      M 2130-09-30   40  \n",
       "2  2128-06-27 12:32:29  2.8939      M 2048-05-26   80  \n",
       "3  2120-08-10 00:39:04  2.0600      F 2074-11-30   46  \n",
       "4  2186-12-27 12:01:13  1.6202      M 2119-11-21   67  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "icustays.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1262b13f",
   "metadata": {},
   "source": [
    "## 'Deathtime' in admissions\n",
    "This column has a large number of missing values because it only has entries for patients who died during their hospital stay. We can create a new column MORTALITY which is 1 if DEATHTIME is not null, and 0 otherwise. Then, we can drop the DEATHTIME column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1a001a23",
   "metadata": {},
   "outputs": [],
   "source": [
    "admissions['DEATHTIME'] = pd.to_datetime(admissions['DEATHTIME'])\n",
    "admissions['DISCHTIME'] = pd.to_datetime(admissions['DISCHTIME'])\n",
    "admissions['MORTALITY'] = admissions['DEATHTIME'].notnull().astype('int')\n",
    "icustays = icustays.merge(admissions[['HADM_ID', 'MORTALITY']], on='HADM_ID', how='left')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c345d88",
   "metadata": {},
   "source": [
    "## Filter icustays on age: \n",
    "We filter the icustays DataFrame to only include ICU stays where the patient's age is within a certain range. For example, to only include ICU stays where the patient's age is greater than 18"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "152c8379",
   "metadata": {},
   "outputs": [],
   "source": [
    "icustays = icustays.loc[icustays['AGE'] >= 18]\n",
    "icustays = icustays.loc[icustays['FIRST_CAREUNIT'] == icustays['LAST_CAREUNIT']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e088152a",
   "metadata": {},
   "source": [
    "## Merge the datasets: \n",
    "You can merge the icustays and admissions datasets on the 'SUBJECT_ID' and 'HADM_ID' columns, which are common to both datasets. This will give you a combined dataset that includes information from both the ICU stays and the hospital admissions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d25d20b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data = pd.merge(icustays, admissions, on=['SUBJECT_ID', 'HADM_ID'], how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "02ec9b19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ROW_ID_x', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE',\n",
       "       'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID',\n",
       "       'INTIME', 'OUTTIME', 'LOS', 'GENDER', 'DOB', 'AGE', 'MORTALITY_x',\n",
       "       'ROW_ID_y', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE',\n",
       "       'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE',\n",
       "       'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME',\n",
       "       'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA',\n",
       "       'MORTALITY_y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a525d226",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data.drop(columns = ['ROW_ID_y','MORTALITY_y'],inplace = True)\n",
    "combined_data = combined_data.rename(columns={\"ROW_ID_x\": \"ROW_ID\", \"MORTALITY_x\": \"MORTALITY\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "90f64f4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ok so deathtime is no longer needed \n",
    "combined_data.drop(columns = 'DEATHTIME',inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fca4167e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ROW_ID                      0\n",
       "SUBJECT_ID                  0\n",
       "HADM_ID                     0\n",
       "ICUSTAY_ID                  0\n",
       "DBSOURCE                    0\n",
       "FIRST_CAREUNIT              0\n",
       "LAST_CAREUNIT               0\n",
       "FIRST_WARDID                0\n",
       "LAST_WARDID                 0\n",
       "INTIME                      0\n",
       "OUTTIME                     0\n",
       "LOS                         0\n",
       "GENDER                      0\n",
       "DOB                         0\n",
       "AGE                         0\n",
       "MORTALITY                   0\n",
       "ADMITTIME                   0\n",
       "DISCHTIME                   0\n",
       "ADMISSION_TYPE              0\n",
       "ADMISSION_LOCATION          0\n",
       "DISCHARGE_LOCATION          0\n",
       "INSURANCE                   0\n",
       "LANGUAGE                16726\n",
       "RELIGION                    0\n",
       "MARITAL_STATUS           2266\n",
       "ETHNICITY                   0\n",
       "EDREGTIME               19307\n",
       "EDOUTTIME               19307\n",
       "DIAGNOSIS                   1\n",
       "HOSPITAL_EXPIRE_FLAG        0\n",
       "HAS_CHARTEVENTS_DATA        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "663326d5",
   "metadata": {},
   "source": [
    "## 'LANGUAGE': \n",
    "This column represents the patient's language. If it's missing, it might be because the patient's language was not recorded. We could fill in the missing values with a value like 'UNKNOWN' to indicate that the language is unknown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d25883d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data['LANGUAGE'].fillna('UNKNOWN', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61d19d7c",
   "metadata": {},
   "source": [
    "## 'MARITAL_STATUS':\n",
    "This column represents the patient's marital status. If it's missing, it might be because the patient's marital status was not recorded. Similar to 'LANGUAGE', we ould fill in the missing values with 'UNKNOWN'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fe7518ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data['MARITAL_STATUS'].fillna('UNKNOWN', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8bd5bc3",
   "metadata": {},
   "source": [
    "## 'EDREGTIME' and 'EDOUTTIME': \n",
    "These columns represent the time the patient was registered and discharged from the emergency department. If they're missing, it might be because the patient did not visit the emergency department during their hospital stay. We could fill in the missing values with a default value, or we could create a new binary column that indicates whether the patient visited the emergency department. In this case we will create a new column called ED_VISIT which indicates if the patient visited the emergency depratment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "419cbdd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data['ED_VISIT'] = ~combined_data['EDREGTIME'].isna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0f2e4e33",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data.drop(['EDREGTIME', 'EDOUTTIME'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bffc7a1d",
   "metadata": {},
   "source": [
    "## Diagnosis\n",
    "As there is only 1 value missing, it might be because the patient's diagnosis was not recorded. We can drop this column \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f777e1a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data.dropna(subset=['DIAGNOSIS'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0517056b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE',\n",
       "       'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID',\n",
       "       'INTIME', 'OUTTIME', 'LOS', 'GENDER', 'DOB', 'AGE', 'MORTALITY',\n",
       "       'ADMITTIME', 'DISCHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',\n",
       "       'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',\n",
       "       'MARITAL_STATUS', 'ETHNICITY', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG',\n",
       "       'HAS_CHARTEVENTS_DATA', 'ED_VISIT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f71caad",
   "metadata": {},
   "source": [
    "### Checking for duplicate rows "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bd0bb5ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicate rows:  0\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of duplicate rows: \", combined_data.duplicated().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "bffcc6d6",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "diagnoses_counts = unique_patients['DIAGNOSIS'].value_counts().nlargest(10)\n",
    "# 1. Age Distribution\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.histplot(unique_patients['AGE'], bins=20, color='blue', kde=True)\n",
    "plt.title('Age Distribution of Patients')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of Patients')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2ad22a5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the 95th percentile of the LOS data\n",
    "percentile_95 = combined_data['LOS'].quantile(0.95)\n",
    "\n",
    "# Filter the data to include only values below the 95th percentile\n",
    "filtered_df = combined_data[combined_data['LOS'] <= percentile_95]\n",
    "\n",
    "# Box plot of Length of Stay (LOS) within the top 95%\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.boxplot(x=filtered_df['LOS'], palette='Set3')\n",
    "plt.title('Box Plot of Length of Stay (LOS) within the Top 95%')\n",
    "plt.xlabel('Length of Stay (days)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8b5ffe05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KFSt0+fJlTZo0SRERETp8+LDi4+O1YMECHT9+XJKUnp6uefPmaeHChTp8+LCGDx+uyZMn69q1a5Kk5cuXa//+/dq4caPS0tLk4uKi2bNnW649ZcoUubm5KS0tTcnJyTpw4IASExNr+y0AAAAAcBep9dDl7e2tzz//XJGRkbKzs1NBQYG+//57eXt76+OPP5anp6eio6Pl6Oionj17atiwYVq/fr0kKSkpSUOGDFFwcLCcnJw0fvx4eXl5KTU11dI+ceJEtWrVSk2aNNGsWbO0d+9eZWdn68yZMzp06JBmzJghV1dXtW3bVjExMZaxAQAAAMAIdbK8sEmTJpKkvn37atiwYWrevLkiIyN16tQpdezY0aqvn5+fMjMzJUlZWVk3bb969arOnTtn1e7j4yMPDw+dPHlSp06dkqenp3x9fS3t7du3V05Ojq5cuWLUrQIAAAC4yznW5cU//vhjXb58WdOnT9eLL74oX19fubq6WvVxcXFRcXGxJKmoqOim7UVFRZIkNze3Ku2VbdefW/m6uLhY7u7u1a7bZDJVu29tcnBwqOsSAKDG3amfuQCAu5stv5/qNHS5uLjIxcVFM2bM0OjRozV27FhdvXrVqk9JSYkaN24s6YeQVLnhxo/bvby8LAGq8vmu6883m81V2ipfV45fXSdOnLCpf21wdXVVp06d6roMAKhxJ0+erPL5DQBAfVLroevLL7/UK6+8os2bN8vZ2VmSVFpaKicnJ/n5+Wn//v1W/bOystShQwdJUocOHXTq1Kkq7X369JGHh4d8fX2tliBevHhRBQUF6tixoyoqKlRQUKDc3Fz5+PhIkk6fPq2WLVuqadOmNt1DQEAAs0oAUEv8/f3rugQAAKowmUzVnoyp9dDl7++vkpISvfHGG5o2bZouXryoRYsWKSoqSgMHDtQbb7yhxMRERUdH68iRI9qyZYuWLVsmSYqKilJsbKwGDRqk4OBgrV+/XpcuXVJ4eLgkKTIyUsuXL1dAQIC8vLw0f/58hYSEqF27dpKk4OBgzZ8/X3PnzlV+fr6WLVumqKgom+/BwcGB0AUAtYTPWwBAfVfroatx48ZatWqV5s+fr969e6tp06YaNmyYYmNj5ezsrDVr1ig+Pl4JCQny9vbW7Nmz1aNHD0lSz549FRcXpzlz5uj8+fPy8/PTypUr5enpKUmKjY1VeXm5oqOjVVRUpNDQUC1ZssRy7YSEBM2dO1f9+/eXvb29IiIiFBMTU9tvAQAAAIC7iJ3ZbDbXdRH1hclk0tGjRxUYGHjH/uV18f6tOnslr67LAIDb1trdW//de2hdlwEAwA3Zkg3qZMt4AAAAALhbELoAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADBQnYSuzMxMPf300woJCVHv3r31u9/9Tnl5eZKkuLg4de7cWUFBQZafDRs2WM5NSUlReHi4AgMDFRkZqYyMDEubyWTSokWL1KtXLwUFBWny5Mm6cOGCpf3SpUuKiYlRt27dFBoaqvj4eJWXl9fejQMAAAC469R66CopKdGECRMUFBSkffv2aevWrSooKNArr7wiSTpx4oTmzZunjIwMy8+YMWMkSenp6Zo3b54WLlyow4cPa/jw4Zo8ebKuXbsmSVq+fLn279+vjRs3Ki0tTS4uLpo9e7bl2lOmTJGbm5vS0tKUnJysAwcOKDExsbbfAgAAAAB3kVoPXTk5Obr//vsVGxsrZ2dneXl5acyYMTp8+LBKS0v1zTffqHPnzjc8NykpSUOGDFFwcLCcnJw0fvx4eXl5KTU11dI+ceJEtWrVSk2aNNGsWbO0d+9eZWdn68yZMzp06JBmzJghV1dXtW3bVjExMVq/fn1t3j4AAACAu4xjbV/wF7/4hVatWmV17KOPPtIDDzygzMxMlZeXKyEhQUeOHFHTpk01atQoTZgwQfb29srKytKoUaOszvXz81NmZqauXr2qc+fOqWPHjpY2Hx8feXh46OTJk5IkT09P+fr6Wtrbt2+vnJwcXblyRe7u7tW+B5PJ9HNu3XAODg51XQIA1Lg79TMXAHB3s+X3U62Hrh8zm81asmSJPvvsM73//vvKzc1VSEiIxo4dq8WLF+vrr79WbGys7O3tNWHCBBUVFcnV1dVqDBcXFxUXF6uoqEiS5ObmVqW9su36cytfFxcX2xS6Tpw4YfO9Gs3V1VWdOnWq6zIAoMadPHnSsowcAID6qM5CV2FhoWbOnKmvvvpK77//vvz9/eXv76/evXtb+nTp0kXjxo1TamqqJkyYIFdXV5WUlFiNU1JSIi8vL0uAuv4Xc0lJiRo3biyz2VylrfJ148aNbao9ICCAWSUAqCX+/v51XQIAAFWYTKZqT8bUSej69ttvNXHiRN1zzz1KTk6Wt7e3JGnnzp3Kzc3V448/bulbWloqFxcXSVKHDh106tQpq7GysrLUp08feXh4yNfXV1lZWZYlhhcvXlRBQYE6duyoiooKFRQUKDc3Vz4+PpKk06dPq2XLlmratKlN9Ts4OBC6AKCW8HkLAKjvan0jjcuXL2vcuHHq2rWrVq9ebQlc0g/LDRcsWKADBw7IbDYrIyND69ats+xeGBUVpS1btujgwYMqKytTYmKiLl26pPDwcElSZGSkli9fruzsbBUWFmr+/PkKCQlRu3btdN999yk4OFjz589XYWGhsrOztWzZMkVFRdX2WwAAAADgLlLrM12bNm1STk6Otm/frh07dli1ZWRkaObMmZozZ47Onz8vHx8fvfDCCxoxYoQkqWfPnoqLi7O0+/n5aeXKlfL09JQkxcbGqry8XNHR0SoqKlJoaKiWLFliGT8hIUFz585V//79ZW9vr4iICMXExNTWrQMAAAC4C9mZzWZzXRdRX5hMJh09elSBgYF37HKXxfu36uyVvLouAwBuW2t3b/1376F1XQYAADdkSzao9eWFAAAAAHA3IXQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIJtCV0VFhT755BNJ0vnz5zVlyhTNnTtXhYWFhhQHAAAAAPWdTaFr4cKFeu211yRJcXFxys3N1b/+9S/NmzfPkOIAAAAAoL5ztKXznj179Ne//lVFRUXat2+ftm3bpmbNmql///5G1QcAAAAA9ZpNM135+fm65557dPjwYbVo0UL33nuvXF1dZTKZjKoPAAAAAOo1m2a62rZtqw8++EA7duzQQw89pIqKCq1Zs0Z+fn5G1QcAAAAA9ZpNoevll1/WSy+9JBcXF82dO1cHDx7U6tWr9c477xhVHwAAAADUazaFrvvuu0+7du2yvPb09NTevXt15syZGi8MAAAAABoCm57pGjhwoNVrZ2dnOTo6asyYMTVaFAAAAAA0FLec6Tpz5oyeeeYZmc1mXbt2rcpOhSUlJWrdurVhBQIAAABAfXbL0HXvvfdq1qxZys/P15w5c/T8889btTdq1Ejdu3c3rEAAAAAAqM+q9UzXI488Iklq06aNQkJCDC0IAAAAABoSmzbSCA4OVmpqqv7973+roqLCqu36GTAAAAAAgI2hKy4uTtu2bdP9998vR8f/O9XOzq7GCwMAAACAhsCm0LVr1y6tW7dOAQEBRtUDAAAAAA2KTVvGm81mderUyahaAAAAAKDBsSl0DR06VKtXrzaqFgAAAABocGxaXvjVV1/pyy+/1PLly+Xt7W3V9umnn9ZoYQAAAADQENgUukaPHq3Ro0cbVQsAAAAANDg2ha6RI0da/jsvL6/KbBcAAAAAwJpNz3SVl5frT3/6k4KDgxUWFqbs7GyNGjVKFy9eNKo+AAAAAKjXbApdS5cu1cGDB/Xmm2/KyclJzZo1U8uWLfXaa6/ZdNHMzEw9/fTTCgkJUe/evfW73/1OeXl5kqRjx45p9OjRCgoKUlhYmJKSkqzOTUlJUXh4uAIDAxUZGamMjAxLm8lk0qJFi9SrVy8FBQVp8uTJunDhgqX90qVLiomJUbdu3RQaGqr4+HiVl5fbVDsAAAAA2MKm0LVlyxYlJCTooYcekp2dndzc3LRgwQIdPHiw2mOUlJRowoQJCgoK0r59+7R161YVFBTolVde0eXLlzVp0iRFRETo8OHDio+P14IFC3T8+HFJUnp6uubNm6eFCxfq8OHDGj58uCZPnqxr165JkpYvX679+/dr48aNSktLk4uLi2bPnm259pQpU+Tm5qa0tDQlJyfrwIEDSkxMtOUtAAAAAACb2BS6iouLLc9xmc1mSZKLi4vs7as/TE5Oju6//37FxsbK2dlZXl5eGjNmjA4fPqyPP/5Ynp6eio6OlqOjo3r27Klhw4Zp/fr1kqSkpCQNGTJEwcHBcnJy0vjx4+Xl5aXU1FRL+8SJE9WqVSs1adJEs2bN0t69e5Wdna0zZ87o0KFDmjFjhlxdXdW2bVvFxMRYxgYAAAAAI9i0kUZgYKDeeustTZ06VXZ2dpKk9957TwEBAdUe4xe/+IVWrVpldeyjjz7SAw88oFOnTqljx45WbX5+fkpOTpYkZWVladSoUVXaMzMzdfXqVZ07d87qfB8fH3l4eOjkyZOSJE9PT/n6+lra27dvr5ycHF25ckXu7u7VvgeTyVTtvrXJwcGhrksAgBp3p37mAgDubrb8frIpdM2aNUvjxo1TSkqKioqKNHjwYBUVFWnt2rU2Fyn9MFu2ZMkSffbZZ3r//fe1bt06ubq6WvVxcXFRcXGxJKmoqOim7UVFRZIkNze3Ku2VbdefW/m6uLjYptB14sSJavetLa6ururUqVNdlwEANe7kyZOWZeQAANRHNoWutm3batu2bfrss8+Uk5Ojli1bql+/fmrSpInNFy4sLNTMmTP11Vdf6f3335e/v79cXV119epVq34lJSVq3LixpB+CRUlJSZV2Ly8vS4C6/hdz5flms7lKW+XryvGrKyAggFklAKgl/v7+dV0CAABVmEymak/G2BS6pB+Cz+DBg20u6se+/fZbTZw4Uffcc4+Sk5Mtz4l17NhR+/fvt+qblZWlDh06SJI6dOigU6dOVWnv06ePPDw85Ovrq6ysLMsSw4sXL6qgoEAdO3ZURUWFCgoKlJubKx8fH0nS6dOn1bJlSzVt2tSm+h0cHAhdAFBL+LwFANR31doBo2vXrpKk+++/X7/85S9v+FNdly9f1rhx49S1a1etXr3a6guWw8PDlZubq8TERJWVlengwYPasmWL5TmuqKgobdmyRQcPHlRZWZkSExN16dIlhYeHS5IiIyO1fPlyZWdnq7CwUPPnz1dISIjatWun++67T8HBwZo/f74KCwuVnZ2tZcuWKSoqqtq1AwAAAICtqjXTtWLFCknSunXrbvuCmzZtUk5OjrZv364dO3ZYtWVkZGjNmjWKj49XQkKCvL29NXv2bPXo0UOS1LNnT8XFxWnOnDk6f/68/Pz8tHLlSnl6ekqSYmNjVV5erujoaBUVFSk0NFRLliyxjJ+QkKC5c+eqf//+sre3V0REhGJiYm77ngAAAADgZuzMlXu/V8Nrr71m9b1XlX73u9/pj3/8Y40WdicymUw6evSoAgMD79jlLov3b9XZK3l1XQYA3LbW7t76795D67oMAABuyJZscMuZrvPnz+vAgQOSfvgerM6dO1u1X716VZ988sltlAsAAAAADdctQ5eXl5fef/995eXlqbS0VAkJCVbtjRo10vPPP29YgQAAAABQn90ydDk7O1u+nPiZZ57R6tWrDS8KAAAAABqKau1eWOlGgau8vFz//Oc/a6wgAAAAAGhIbPqerj179lh2Dvzx/huOjo7V/mIwAAAAALib2BS6Xn/9dQ0YMEDu7u46efKkhg4dqrfffpvvugIAAACAm7BpeWF2drZmzJihIUOGKD8/XwMGDNAbb7yhv//970bVBwAAAAD1mk2hy9vbW/b29rrnnnt0+vRpSZKfn5/OnTtnSHEAAAAAUN/ZFLr8/f315ptvSpKaNWumPXv2KD09XY0aNTKkOAAAAACo72wKXTNmzNDOnTt18eJFvfjii4qJidH48eP1zDPPGFUfAAAAANRrNm2k0b59e23btk2S1Lp1a3322WcqKirSf/3XfxlSHAAAAADUd9UOXSkpKfrqq6/08MMPq2/fvpKkFi1aGFYYAAAAADQE1VpeuHr1asXFxSkjI0MvvPCCkpKSjK4LAAAAABqEaoWuv/zlL1q9erU2btyo119/XX/729+MrgsAAAAAGoRqha68vDx1795dkvTII48oOzvb0KIAAAAAoKGoVuiyt/+/bs7OzoYVAwAAAAANTbVCl9lsNroOAAAAAGiQqrV7YUVFhb744gtL+CovL7d6Lcmy/BAAAAAA8H+qFbpKSkr01FNPWR378Ws7Ozt9/fXXNVsZAAAAADQA1QpdmZmZRtcBAAAAAA1StZ7pAgAAAAD8PIQuAAAAADAQoQsAAAAADFSt0LVnzx6j6wAAAACABqlaoWv69OmSpAEDBhhaDAAAAAA0NNXavdDJyUnx8fHKycnRW2+9dcM+zz//fI0WBgAAAAANQbVC1+9//3slJSXJbDYrPT29SrudnV2NFwYAAAAADUG1QtegQYM0aNAgjR49Wu+9957RNQEAAABAg1Gt0FUpKSlJRUVF2rNnj86ePasWLVrokUcekbu7u1H1AQAAAEC9ZlPoOnPmjMaPH6+ysjLdc889ysnJ0aJFi/TnP/9ZHTp0MKpGAAAAAKi3bPqergULFuixxx7T3r179fe//1179+7ViBEjtHDhQqPqAwAAAIB6zabQdezYMU2dOlX29j+cZm9vr9/+9rc6duyYIcUBAAAAQH1nU+hycHBQYWGh1bHCwkK5urrWaFEAAAAA0FDYFLoeeeQRTZs2Tf/6179UWlqq06dPa8aMGXrkkUeMqg8AAAAA6jWbQte0adNUXl6uwYMH68EHH9TQoUPVqFEjTZ8+3aj6AAAAAKBes2n3Qk9PT7333nvKzs7WpUuX1Lp1azVv3tyo2gAAAACg3rMpdFVq27at2rZtW9O1AAAAAECDY9PyQgAAAACAbQhdAAAAAGAgm0LXtm3bVFpaalQtAAAAANDg2BS6Xn31VdnZ2RlVCwAAAAA0ODaFroCAAKWmphpVCwAAAAA0ODbtXlhQUKCXXnpJv//97+Xj42M16/Xpp5/WeHEAAAAAUN/ZFLqeeuopo+oAAAAAgAbJptA1cuRIy3/n5eXJ29u7xgsCAAAAgIbEpme6ysvL9ac//UnBwcEKCwtTdna2Ro0apYsXLxpVHwAAAADUazaFrqVLl+rgwYN688035eTkpGbNmqlly5Z67bXXftbF8/LyFB4ervT0dMuxuLg4de7cWUFBQZafDRs2WNpTUlIUHh6uwMBARUZGKiMjw9JmMpm0aNEi9erVS0FBQZo8ebIuXLhgab906ZJiYmLUrVs3hYaGKj4+XuXl5T+rdgAAAACoDptC15YtW5SQkKCHHnpIdnZ2cnNz04IFC3Tw4EGbL3zkyBGNGTNG3377rdXxEydOaN68ecrIyLD8jBkzRpKUnp6uefPmaeHChTp8+LCGDx+uyZMn69q1a5Kk5cuXa//+/dq4caPS0tLk4uKi2bNnW8aeMmWK3NzclJaWpuTkZB04cECJiYk21w4AAAAA1WVT6CouLrY8x2U2myVJLi4usre3aRilpKRo+vTpmjp1qtXx0tJSffPNN+rcufMNz0tKStKQIUMUHBwsJycnjR8/Xl5eXpZt7JOSkjRx4kS1atVKTZo00axZs7R3715lZ2frzJkzOnTokGbMmCFXV1e1bdtWMTExWr9+vU21AwAAAIAtbEpLgYGBeuuttyTJsl38e++9p4CAAJsu+tBDD+mTTz7R4MGDrY5nZmaqvLxcCQkJ6tWrlwYOHKgVK1aooqJCkpSVlaWOHTtanePn56fMzExdvXpV586ds2r38fGRh4eHTp48qVOnTsnT01O+vr6W9vbt2ysnJ0dXrlyxqX4AAAAAqC6bdi+cNWuWxo0bp5SUFBUVFWnw4MEqKirS2rVrbbpo8+bNb3j86tWrCgkJ0dixY7V48WJ9/fXXio2Nlb29vSZMmKCioiK5urpanePi4qLi4mIVFRVJktzc3Kq0V7Zdf27l6+LiYrm7u1e7fpPJVO2+tcnBwaGuSwCAGnenfuYCAO5utvx+sil0tW3bVtu2bdPu3bt19uxZtWzZUv369VOTJk1sLvJGevfurd69e1ted+nSRePGjVNqaqomTJggV1dXlZSUWJ1TUlIiLy8vS4CqfL7rx+2NGzeW2Wyu0lb5unHjxjbVeeLECZv61wZXV1d16tSprssAgBp38uTJKp/fAADUJzaFLklq1KiRWrVqJXt7e7Vu3brGApck7dy5U7m5uXr88cctx0pLS+Xi4iJJ6tChg06dOmV1TlZWlvr06SMPDw/5+vpaLUG8ePGiCgoK1LFjR1VUVKigoEC5ubny8fGRJJ0+fVotW7ZU06ZNbaozICCAWSUAqCX+/v51XQIAAFWYTKZqT8bYFLrOnDmjZ599Vt999508PT2Vn5+vTp066e2331aLFi1+VrE/ZjabtWDBAt17773q0aOHjh49qnXr1mnmzJmSpKioKMXGxmrQoEEKDg7W+vXrdenSJYWHh0uSIiMjtXz5cgUEBMjLy0vz589XSEiI2rVrJ0kKDg7W/PnzNXfuXOXn52vZsmWKioqyuU4HBwdCFwDUEj5vAQD1nU2ha968eerRo4defvllubi4qLCwUPHx8Zo7d65lg43bER4erpkzZ2rOnDk6f/68fHx89MILL2jEiBGSpJ49eyouLs7S7ufnp5UrV8rT01OSFBsbq/LyckVHR6uoqEihoaFasmSJZfyEhATNnTtX/fv3l729vSIiIhQTE3PbdQMAAADAzdiZK/d+r4bQ0FClpaXJ2dnZcuzatWvq16+f1RccN1Qmk0lHjx5VYGDgHfuX18X7t+rslby6LgMAbltrd2/9d++hdV0GAAA3ZEs2sGnL+NatW1f5MuNz585ZZpoAAAAAANaqtbzwgw8+kCR17dpVEydO1DPPPKPWrVvrwoULWrNmjR599FEjawQAAACAeqtaoSshIcHy33Z2dlqzZo1V+44dOzRjxoyarQwAAAAAGoBqha5du3YZXQcAAAAANEg2f0/XF198obNnz+r6/TciIiJqqiYAAAAAaDBsCl1xcXFKTk5WixYtZGdnZzluZ2dH6AIAAACAG7ApdKWmpmrDhg3q3LmzUfUAAAAAQINi05bxTZs2VceOHY2qBQAAAAAaHJtmuiZPnqxZs2bpmWeekbu7u1XbPffcU6OFAQAAAEBDYFPo+v7775WamqqtW7dajpnNZtnZ2enrr7+u8eIAAAAAoL6zKXQtW7ZMs2fP1kMPPSR7e5tWJgIAAADAXcmm0GUymfTEE08YVQsAAAAANDg2TVdFRkZq3bp1RtUCAAAAAA2OTTNdx48f19q1a/Xmm2/Kw8PD6ru6Pv300xovDgAAAADqO5tCV1RUlKKiooyqBQAAAAAaHJtC18iRI42qAwAAAAAaJJtC19ixY62WFP4Yz3oBAAAAQFU2ha7Q0FCr1/n5+dqxY4fGjBlTo0UBAAAAQENhU+h6/vnnqxyLjIzUH//4xxorCAAAAAAaktv+huMHHnhA//jHP2qiFgAAAABocGya6crJybF6XVZWpm3btqlVq1Y1WhQAAAAANBQ2ha6wsDCrjTTMZrM8PDz02muv1XhhAAAAANAQ2BS6rv8CZAcHBzVr1kxOTk41WhQAAAAANBQ2ha7WrVsbVQcAAAAANEjVCl3XLyu8np2dnXbu3FljRQEAAABAQ1Gt0PXCCy/c8PjRo0e1YcMGderUqUaLAgAAAICGolqha+TIkVWOrVmzRhs3btQTTzyhmTNn1nhhAAAAANAQ2PRMlyRduXJFL730kr744gu9/vrrGjRokBF1AQAAAECDYFPoOnr0qKZOnSovLy9t2rRJbdu2NaouAAAAAGgQ7KvbcdWqVRo7dqz69++vv/3tbwQuAAAAAKiGas10Pffcc9qzZ4+eeuopDRgwQMeOHavSp3v37jVeHAAAAADUd9UKXbt375Ykvffee3rvvfeqtNvZ2enrr7+u0cIAAAAAoCGoVujKzMw0ug4AAAAAaJCq/UwXAAAAAMB2hC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMFCdhq68vDyFh4crPT3dcuzYsWMaPXq0goKCFBYWpqSkJKtzUlJSFB4ersDAQEVGRiojI8PSZjKZtGjRIvXq1UtBQUGaPHmyLly4YGm/dOmSYmJi1K1bN4WGhio+Pl7l5eXG3ygAAACAu1adha4jR45ozJgx+vbbby3HLl++rEmTJikiIkKHDx9WfHy8FixYoOPHj0uS0tPTNW/ePC1cuFCHDx/W8OHDNXnyZF27dk2StHz5cu3fv18bN25UWlqaXFxcNHv2bMv4U6ZMkZubm9LS0pScnKwDBw4oMTGxVu8bAAAAwN2lTkJXSkqKpk+frqlTp1od//jjj+Xp6ano6Gg5OjqqZ8+eGjZsmNavXy9JSkpK0pAhQxQcHCwnJyeNHz9eXl5eSk1NtbRPnDhRrVq1UpMmTTRr1izt3btX2dnZOnPmjA4dOqQZM2bI1dVVbdu2VUxMjGVsAAAAADCCY11c9KGHHtKwYcPk6OhoFbxOnTqljh07WvX18/NTcnKyJCkrK0ujRo2q0p6ZmamrV6/q3LlzVuf7+PjIw8NDJ0+elCR5enrK19fX0t6+fXvl5OToypUrcnd3r3b9JpOp+jdbixwcHOq6BACocXfqZy4A4O5my++nOgldzZs3v+HxoqIiubq6Wh1zcXFRcXHxLduLiookSW5ublXaK9uuP7fydXFxsU2h68SJE9XuW1tcXV3VqVOnui4DAGrcyZMnLcvIAQCoj+okdN2Mq6urrl69anWspKREjRs3trSXlJRUaffy8rIEqOt/MVeebzabq7RVvq4cv7oCAgKYVQKAWuLv71/XJQAAUIXJZKr2ZMwdFbo6duyo/fv3Wx3LyspShw4dJEkdOnTQqVOnqrT36dNHHh4e8vX1VVZWlmWJ4cWLF1VQUKCOHTuqoqJCBQUFys3NlY+PjyTp9OnTatmypZo2bWpTnQ4ODoQuAKglfN4CAOq7O+p7usLDw5Wbm6vExESVlZXp4MGD2rJli+U5rqioKG3ZskUHDx5UWVmZEhMTdenSJYWHh0uSIiMjtXz5cmVnZ6uwsFDz589XSEiI2rVrp/vuu0/BwcGaP3++CgsLlZ2drWXLlikqKqoubxkAAABAA3dHzXR5eXlpzZo1io+PV0JCgry9vTV79mz16NFDktSzZ0/FxcVpzpw5On/+vPz8/LRy5Up5enpKkmJjY1VeXq7o6GgVFRUpNDRUS5YssYyfkJCguXPnqn///rK3t1dERIRiYmLq4E4BAAAA3C3szGazua6LqC9MJpOOHj2qwMDAO3a5y+L9W3X2Sl5dlwEAt621u7f+u/fQui4DAIAbsiUb3FHLCwEAAACgoSF0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEAAACAgQhdAAAAAGAgQhcAAAAAGIjQBQAAAAAGInQBAAAAgIHuyNCVmpqqTp06KSgoyPIzY8YMSdKxY8c0evRoBQUFKSwsTElJSVbnpqSkKDw8XIGBgYqMjFRGRoalzWQyadGiRerVq5eCgoI0efJkXbhwoVbvDQAAAMDd5Y4MXSdOnNCIESOUkZFh+Xn99dd1+fJlTZo0SRERETp8+LDi4+O1YMECHT9+XJKUnp6uefPmaeHChTp8+LCGDx+uyZMn69q1a5Kk5cuXa//+/dq4caPS0tLk4uKi2bNn1+WtAgAAAGjg7tjQ1blz5yrHP/74Y3l6eio6OlqOjo7q2bOnhg0bpvXr10uSkpKSNGTIEAUHB8vJyUnjx4+Xl5eXUlNTLe0TJ05Uq1at1KRJE82aNUt79+5VdnZ2rd4fAAAAgLvHHRe6Kioq9NVXX2n37t165JFH1KdPH/3+97/X5cuXderUKXXs2NGqv5+fnzIzMyVJWVlZN22/evWqzp07Z9Xu4+MjDw8PnTx50vgbAwAAAHBXcqzrAq6Xl5enTp06aeDAgUpISFB+fr5eeuklzZgxQ82bN5erq6tVfxcXFxUXF0uSioqKbtpeVFQkSXJzc6vSXtlWXSaTydbbqhUODg51XQIA1Lg79TMXAHB3s+X30x0Xunx8fCzLBSXJ1dVVM2bM0K9+9StFRkaqpKTEqn9JSYkaN25s6Xujdi8vL0sYq3y+60bnV9eJEyds6l8bXF1d1alTp7ouAwBq3MmTJ6t8dgMAUJ/ccaErMzNTW7du1bRp02RnZydJKi0tlb29vbp06aI///nPVv2zsrLUoUMHSVKHDh106tSpKu19+vSRh4eHfH19rZYgXrx4UQUFBVWWJN5KQEAAs0oAUEv8/f3rugQAAKowmUzVnoy540KXp6en1q9fLw8PDz399NO6cOGCXn/9dY0cOVIDBw7UG2+8ocTEREVHR+vIkSPasmWLli1bJkmKiopSbGysBg0apODgYK1fv16XLl1SeHi4JCkyMlLLly9XQECAvLy8NH/+fIWEhKhdu3Y21ejg4EDoAoBawuctAKC+u+NCV8uWLfXuu+9q8eLFWr58uRo1aqQhQ4ZoxowZatSokdasWaP4+HglJCTI29tbs2fPVo8ePSRJPXv2VFxcnObMmaPz58/Lz89PK1eulKenpyQpNjZW5eXlio6OVlFRkUJDQ7VkyZK6u1kAAAAADZ6d2Ww213UR9YXJZNLRo0cVGBh4x/7ldfH+rTp7Ja+uywCA29ba3Vv/3XtoXZcBAMAN2ZIN7rgt4wEAAACgISF0AQAAAICBCF0AAAAAYCBCFwAAAAAYiNAFAAAAAAYidAEA0ICYKyrqugQAqFEN4XPtjvueLgAA8PPZ2dvr8s6/ypR/oa5LAYDb5uDVQh6PPlHXZdw2QhcAAA2MKf+CynPP1nUZAID/xfJCAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChCwAAAAAMROgCAAAAAAMRugAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAAD3XWh69KlS4qJiVG3bt0UGhqq+Ph4lZeX13VZAAAAABqouy50TZkyRW5ubkpLS1NycrIOHDigxMTEui4LAAAAQAN1V4WuM2fO6NChQ5oxY4ZcXV3Vtm1bxcTEaP369XVdGgAAAIAGyrGuC6hNp06dkqenp3x9fS3H2rdvr5ycHF25ckXu7u4/eb7ZbJYklZaWysHBwdBafw4HBwe1auwhB9nVdSkAcNtaNHaXyWSSyWSq61LqFQcHB9l5tZS93Z33ewoAbGXn2fyO/V1QWVNlRvgpd1XoKioqkqurq9WxytfFxcW3DF0VFRWSpH/+85/GFFgDOspNHV3c6roMALh9Juno0aN1XUX95OX3ww8ANAR3+O+CyozwU+6q0OXm5qZr165ZHat83bhx41ue7+joqICAANnb28vOjtkkAAAA4G5lNptVUVEhR8dbR6q7KnR16NBBBQUFys3NlY+PjyTp9OnTatmypZo2bXrL8+3t7eXs7Gx0mQAAAAAakLtqI4377rtPwcHBmj9/vgoLC5Wdna1ly5YpKiqqrksDAAAA0EDZmavz5FcDkpubq7lz5yo9PV329vaKiIjQ9OnT78iNMQAAAADUf3dd6AIAAACA2nRXLS8EAAAAgNpG6AIAAAAAAxG6AAAAAMBAhC4AAAAAMBChC2hALl++rDlz5qhv374KDAzUQw89pJdeeknnzp2r8Wu98847mjBhQo2PK0n+/v5KT083ZGwAQFVhYWEKCAhQUFCQgoKCFBgYqBEjRigpKcnSJygoSF988cXPGn/p0qUaO3ZsTZUL1Dt31ZcjAw3d1KlT1bRpUyUnJ6t58+bKzc1VfHy8nn76aW3ZsqVa35heXc8991yNjQUAqHuvvvqqIiMjJUmlpaXavXu3Zs6cqfz8fE2aNEkZGRl1XCFQfzHTBTQgR44cUXh4uJo3by5J8vHx0SuvvKIHH3xQV65cUVhYmDZt2mTpn56eLn9/f0nSd999J39/fy1cuFDdu3fXK6+8oqCgIO3bt8/S/8qVK+rSpYuOHz9u+atlRUWFwsLCtGHDBks/k8mkhx9+WNu3b5ckff7554qKilK3bt00ZMgQbd682dK3rKxMCxYsUGhoqHr06KFVq1YZ+h4BAG7N2dlZAwYM0EsvvaS33npLhYWFVqsQCgsLNXfuXPXt21c9e/bU1KlTlZubazn/yy+/1KhRoxQYGKjHH39c3333XV3dCnBHIHQBDciQIUMUFxenOXPmKDU1VWfPnlXz5s21cOFCeXt7V2uMoqIi7d+/Xy+//LIGDRqklJQUS9vWrVt17733qkuXLpZj9vb2GjVqlFW/ffv2qbS0VP3791dmZqYmT56sSZMmKT09XfPmzdP8+fOVlpYmSVq2bJl2796t5ORk7dq1S998800NvRsAgNvVr18/ff/99/ryyy+tjr/yyis6c+aMNm3apJ07d6pJkyZ6/vnnZTablZ+fr2effVYDBw7U4cOHNWPGDO3cubOO7gC4MxC6gAbktdde0x/+8Af95z//0R/+8AeFhYUpPDzcambpViIiIuTs7Cx3d3eNHj1an376qQoLCyVJKSkpioqKqnJOVFSUjh8/rm+//dbSb8SIEXJ2dtbf/vY39e/fXwMGDJCDg4O6du2qX/3qV1q/fr0k6cMPP9Qzzzyjtm3bys3NTbNnz5adnV0NvBsAgNvl5eUlSSooKLAcu3Tpkj766CPNmjVLzZo1U+PGjfXKK6/oxIkT+uqrr7R79265urpq4sSJcnJyUnBwsEaNGlVHdwDcGXimC2hA7O3tNWLECI0YMUJms1mnT5/Whx9+qN/97neWJYe30qJFC8t/BwUFqU2bNvroo48UGBiozMxMrVy5sso5vr6+evjhh/XBBx9o/Pjx2rVrlzZu3ChJOnv2rA4ePKhu3bpZ+ptMJrVr106SdOHCBbVq1crS5u7uLg8Pj591/wCAmpWXlydJatasmeXY2bNnJUm/+tWvrPo6ODjou+++0/nz59WqVSurP6C1a9dOX3/9dS1UDNyZCF1AA5GWlqYXX3xRn332mTw9PWVnZyc/Pz9NmzZN+/fv1z//+U/Z29urrKzMck5+fn6Vca6fZYqKitLWrVt15swZPfroo/L09Lzh9UePHq0//vGPatGihe6//3516NBBktSyZUuNHDlSc+fOtfS9cOGCzGazpT07O9vSVlxcrKtXr/7s9wEAUHN27dolNzc3Pfjgg5Zjvr6+kqTt27db/UEvKytLbdu21fbt23X27FlVVFTI3v6HRVVG7KIL1CcsLwQaiO7du6tZs2aaOXOmTp48qbKyMhUWFmrz5s3697//rX79+ql9+/b69NNPVVJSoosXL2rdunW3HDciIkJHjx7VBx98oNGjR9+0X79+/VRcXKwVK1ZY9asMbfv27VNFRYX+/e9/66mnntKaNWsk/RDWVq1apdOnT+v777/XwoULZTKZbv8NAQD8bKWlpUpNTdXixYs1depUNWnSxNLm6+urfv36KT4+Xvn5+SorK9Py5csVFRVl2bTJbDZr6dKlKi0t1T/+8Q+rreeBuxGhC2ggXFxc9Je//EXNmzfX5MmT1a1bN/Xr10+bN2/W2rVr1b59e02fPl1FRUXq3bu3fv3rX2v48OG3HNfT01NhYWFydHRUz549b9rP0dFRkZGRys/P16BBgyzHH3zwQS1evFiLFy9W9+7d9dRTTyksLEzTpk2TJE2cOFHDhw/XU089pYceekhNmza96WwaAMA4cXFxlu/p6tOnj95//329+uqr+vWvf12l7x//+Ee5u7srIiJCPXr00J49e7Rq1So1b95c7u7uWr16tQ4cOKCQkBDNmjVLAwcOrIM7Au4cdubKNT4AAAAAgBrHTBcAAAAAGIjQBQAAAAAGInQBAAAAgIEIXQAAAABgIEIXAAAAABiI0AUAAAAABiJ0AQAAAICBCF0AANjg6tWrysvLu+1xLly4oOLi4hqoCABwpyN0AQAaFH9/f/n7++tf//pXlba1a9fK399fS5cu/dnjh4eH69SpU9Xq+/LLL+vll1+WJL3zzjuaMGGCJCk3N1cDBw6skfAGALjzEboAAA2Ol5eXUlJSqhzftGmTmjRpcltj5+fn/6zznnvuOa1atUqSVFJSwiwXANxFCF0AgAZn2LBh+vDDD1VRUWE5dvz4cZWWlqpTp06WYxUVFVqxYoUeffRRBQcHKyoqSmlpaZb2sLAw/eEPf1Dv3r0VERGhAQMGSJImTpyolStXymw2a8WKFRo2bJi6deum7t27a9q0aSopKalS09KlSzV27FiZTCYNHTpUkjR06FClpKSoe/fu2rJli6VvaWmpQkNDdeDAgRp/bwAAtY/QBQBocPr166eysjJ9/vnnlmPJycmKioqy6vf2229r/fr1evPNN5Wenq7f/OY3iomJ0fHjxy19jh8/ru3bt2vdunX6+OOPJUkrV67UxIkTLceXLl2qL774Qn/729+0b98+qwB1PQcHB23dulWStHXrVo0cOVJDhgzRhx9+aOnz2WefqXHjxurRo0eNvB8AgLpF6AIANDiOjo4aNmyYZYlhSUmJPvroI0VERFj127hxoyZNmqQHHnhAjo6OGjx4sMLCwpScnGzpM3DgQLm7u8vd3b3Kdfr06aPk5GTdd999ysvLU35+vjw9PXX+/Hmb6h01apQ+//xzXbx4UZKUkpKiyMhI2dnZ2XjnAIA7EaELANAgRUZGaufOnSosLNSOHTvUtWtXNW/e3KpPbm6u2rZta3WsTZs2Onv2rOV1ixYtbnoNs9msP/3pTwoJCdGTTz6p9evXq6ysTGaz2aZaAwIC1L59e23btk2XLl3Svn37qgREAED95VjXBQAAYIT7779fv/jFL7R9+3Zt2bJF48aNq9KndevWys7OtjqWnZ1tFbR+arbp//2//6ecnBzt2rXLskHHsGHDfla9o0aN0rZt2+Tk5KRu3bqpTZs2P2scAMCdh5kuAECDFRkZqcTERP3P//yP+vbtW6V99OjRWrFihb766iuZTCZt375du3bt0siRI286prOzs65evSpJKiwsVKNGjeTg4KDvv/9ea9as0TfffKOysrKfrKtRo0aW8ysNHz5cmZmZSkpKUmRk5M+5XQDAHYrQBQBosIYOHaozZ85o+PDhcnSsurjj6aefVnR0tKZOnapu3brp3Xff1eLFixUSEnLTMceMGaNp06bpT3/6k6ZMmaKSkhL16tVLYWFhOnr0qEaMGKFvvvnmJ+vy8fFReHi4xowZo7/+9a+SJG9vb/Xt21ffffedZZdEAEDDYGe2deE5AAAwxIIFC1RSUqJXX321rksBANQgnukCAKCO/ec//9G///1vffDBB0pMTKzrcgAANYzQBQBAHfv73/+uxMRETZgwQb/85S/ruhwAQA1jeSEAAAAAGIiNNAAAAADAQIQuAAAAADAQoQsAAAAADEToAgAAAAADEboAAAAAwECELgAAAAAwEKELAAAAAAxE6AIAAAAAAxG6AAAAAMBA/x8pTZ1JOEqisAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3. Mortality\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.countplot(x=unique_patients['MORTALITY'], palette='Set2')\n",
    "plt.title('Mortality Distribution')\n",
    "plt.xlabel('Mortality')\n",
    "plt.ylabel('Number of Patients')\n",
    "plt.xticks([0, 1], ['Survived', 'Died'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5d063992",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4. Admission Type\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.countplot(x=combined_data['ADMISSION_TYPE'], palette='Set3')\n",
    "plt.title('Admission Type Distribution')\n",
    "plt.xlabel('Admission Type')\n",
    "plt.ylabel('Number of Stays')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0121880e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 6. Ethnicity\n",
    "plt.figure(figsize=(12, 6))\n",
    "ethnicity_counts = unique_patients['ETHNICITY'].value_counts().nlargest(10)\n",
    "sns.barplot(x=ethnicity_counts.index, y=ethnicity_counts.values, palette='Set2')\n",
    "plt.title('Top 10 Ethnicities of Patients')\n",
    "plt.xlabel('Ethnicity')\n",
    "plt.ylabel('Number of Patients')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "384e98a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unique_patients = combined_data.drop_duplicates(subset='SUBJECT_ID')\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.countplot(x=unique_patients['GENDER'], palette='Set1')\n",
    "plt.title('Gender Distribution of Unique Patients')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Number of Patients')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d878d757",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 10))\n",
    "diagnoses_counts = unique_patients['DIAGNOSIS'].value_counts().nlargest(10)\n",
    "ax = sns.barplot(x=diagnoses_counts.index, y=diagnoses_counts.values, palette='Set3')\n",
    "plt.title('Top 10 Diagnoses')\n",
    "plt.xlabel('Diagnosis')\n",
    "plt.ylabel('Number of Patients')\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right', fontsize=10)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cc277e99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = combined_data.corr()\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(corr, annot=True, cmap='coolwarm', linewidths=0.5)\n",
    "plt.title('Correlation Analysis of Numerical Columns')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "515e4ba0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 5))\n",
    "sns.set_style(\"darkgrid\")\n",
    "sns.countplot(x=combined_data['LAST_CAREUNIT'], palette='Set3')\n",
    "plt.title('ICU unit distribution')\n",
    "plt.xlabel('ICU UNIT')\n",
    "plt.ylabel('Number of stays')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16e5f78f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c42dc6e8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f7226c4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f172d46",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "9302e616",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "carevue       27236\n",
       "metavision    22187\n",
       "both            103\n",
       "Name: DBSOURCE, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data['DBSOURCE'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4bd0991e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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efPJJVahQQR988IEuXbqkrl27SvrfiPmWLVvUvHlz610NiqJ8+fKKiorS6NGjZbFYtHDhQnl5eVnfOm/durU8PDw0a9YsjRo1SllZWVq0aNFVI62VK1fW999/r6+//lrNmjWzaXN2dtbzzz+viRMnavTo0erdu7fOnTunRYsWqUqVKnr88ceLXO+1vPDCC9a/58CBA5WXl6c333xTubm5Gjly5F/q+3qaNGkiV1dXzZkzR0888YRyc3O1ceNGffHFF5JkndN8o79NeHi4Vq9erccff1xPP/20atWqpV27dmnJkiUaOHCgzXl5I5UrV1Z6erq2b9+uv/3tb2rTpo3eeustTZgwQb169VJeXp6WLl0qLy8vtW7dunieCMBkCMIAisX999+vf//733r77be1YcMGnThxQoZhqG7duurevbsefvhhm4A7c+ZMvfHGG1q7dq1OnTqlatWqqXv37ho1apRdo2b169fX6tWrNWvWLI0ePVrVqlXT+PHjNWvWLOs6zs7OevPNN7Vw4UK98cYbysjIkI+Pj4YMGWKdO3oz+vfvb/3dy8tLtWvX1tChQ/Xoo4/afMDv92rWrKmlS5dq4cKFmjRpki5fvqxGjRopLi7OGma6du2q999/XxMmTFBkZKT1A11F4e/vrx49emjq1Km6dOmS2rRpoxdffNEa9itVqqTY2FjNnTtX0dHRqlOnjkaOHHnVbeSeeOIJxcTEaOjQoXrrrbeu2k94eLgqVKigN954Q9HR0apYsaLuvfdePf/889a7ZtyswsAXGxur559/Xm5ubmrZsqVmz56tRo0a/aW+r+fOO+/U3LlztWjRIo0YMUJVqlRRYGCgVq1apUGDBumbb76Rv7//Df82np6eWrNmjebOnas5c+bo0qVLqlOnjl544QU98cQTdtUUHh6u7du3Kzo6Ws8++6yefPJJvfrqq1q+fLn1A3LBwcFauXLlTU0ZASA5GUX9BAAAAABwG2GOMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABT4j7CdigoKFB+fr6cnZ2tX1MKAACAssMwDBUUFMjV1fWG3wZJELZDfn6+kpOTS7sMAAAA3EBAQIDc3Nz+dB2CsB0KX1UEBATY9c1XAAAAKBkWi0XJyck3HA2WCMJ2KZwO4eLiQhAGAAAow4oyjZUPywEAAMCUCMIAAAAwJYIwAAAATIkgDAAAAFMiCAMAAMCUCMIAAAAwJYIwAAAATIkgDAAAAFMiCAMAAMCUCMIAAAAwJYIwAAAATIkgDAAAAFMiCAMAAMCUCMIAAAAwJYIwAAAATIkgXAYYFktplwDY4JwEAJiBa2kXAMnJxUU/Tn5JOT/9XNqlAHK/q77ufmV6aZcBAIDDEYTLiJyfflb24cOlXQYAAIBpMDUCAAAApkQQBgAAgCkRhAEAAGBKBGEAAACYEkEYAAAApkQQBgAAgCkRhAEAAGBKBGEAAACYEkEYAAAApkQQBgAAgCkRhAEAAGBKBGEAAACYEkEYAAAApkQQBgAAgCkRhAEAAGBKBGEAAACYEkEYAAAApkQQBgAAgCkRhAEAAGBKBGEAAACYEkEYAAAApkQQBgAAgCkRhAEAAGBKpRKEDx06pMcff1whISFq166dxo0bp7Nnz0qSpkyZoqZNmyooKMj6s27dOuu2mzZtUlhYmAIDAxUeHq6kpCRrm8Vi0ezZs9W2bVsFBQVpxIgROnPmjLU9IyNDUVFRatmypUJDQzVjxgzl5+eX3IEDAACgzCjxIJyTk6Nhw4YpKChIX375pbZs2aLz58/rxRdflCQlJydr+vTpSkpKsv70799fkpSQkKDp06dr1qxZSkxMVK9evTRixAhdvnxZkhQfH6+vvvpK7777rnbu3Cl3d3dNnjzZuu9Ro0bJ09NTO3fu1IYNG7R7926tWLGipJ8CAAAAlAElHoRPnjype+65R9HR0XJzc1PVqlXVv39/JSYmKjc3Vz/88IOaNm16zW3Xr1+vHj16KDg4WOXKldOQIUNUtWpVbdu2zdo+fPhw1apVSxUrVtSkSZO0Y8cOpaam6tixY/r66681duxYeXh4qG7duoqKitKaNWtK8vABAABQRriW9A7vvvtuLV261GbZRx99pCZNmujQoUPKz89XbGys9u7dq0qVKikiIkLDhg2Ts7OzUlJSFBERYbNtw4YNdejQIV26dEmnTp2Sn5+fta169eqqUqWKDh8+LEny8vKSj4+Ptb1BgwY6efKkLl68qMqVKxf5GCwWy80c+nW5uLgUa39AcSju8xwAgJJgz/9fJR6Ef88wDC1YsECff/65Vq9erfT0dIWEhGjQoEGaN2+eDh48qOjoaDk7O2vYsGHKysqSh4eHTR/u7u7Kzs5WVlaWJMnT0/Oq9sK2P25b+Dg7O9uuIJycnGz3sV6Ph4eHGjduXGz9AcXl8OHD1mlHAADcjkotCGdmZmrixIk6cOCAVq9eLX9/f/n7+6tdu3bWdZo1a6bBgwdr27ZtGjZsmDw8PJSTk2PTT05OjqpWrWoNtX/8jzsnJ0cVKlSQYRhXtRU+rlChgl21BwQEMIqL256/v39plwAAgN0sFkuRBy1LJQgfP35cw4cPV+3atbVhwwZ5e3tLkj755BOlp6fr4Ycftq6bm5srd3d3SVKjRo105MgRm75SUlJ03333qUqVKvLx8VFKSop1ekRaWprOnz8vPz8/FRQU6Pz580pPT1f16tUlSUePHpWvr68qVapkV/0uLi4EYdz2OMcBALe7Ev+w3IULFzR48GC1aNFCy5Yts4Zg6cpUiZkzZ2r37t0yDENJSUlauXKl9a4RkZGR2rx5s/bs2aO8vDytWLFCGRkZCgsLkySFh4crPj5eqampyszMVExMjEJCQlSvXj3Vr19fwcHBiomJUWZmplJTU7V48WJFRkaW9FMAAACAMqDER4Q3btyokydP6oMPPtCHH35o05aUlKSJEydq6tSpOn36tKpXr65nnnlGDz30kCSpTZs2mjJlirW9YcOGWrJkiby8vCRJ0dHRys/P14ABA5SVlaXQ0FAtWLDA2n9sbKymTZumLl26yNnZWb1791ZUVFRJHToAAADKECfDMIzSLuJWYbFYtG/fPgUGBhb728bfDxik7P9/dwugNHn6+6vxmlWlXQYAADfFnrzGVywDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDuCVZCozSLgG4CuclcGtxLe0CAOBmuDg7afb6PUpNu1japQCSpLo1Kmt839alXQYAOxCEAdyyUtMuKuXXc6VdBgDgFsXUCAAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKZVKED506JAef/xxhYSEqF27dho3bpzOnj0rSdq/f7/69u2roKAgde7cWevXr7fZdtOmTQoLC1NgYKDCw8OVlJRkbbNYLJo9e7batm2roKAgjRgxQmfOnLG2Z2RkKCoqSi1btlRoaKhmzJih/Pz8kjloAAAAlCklHoRzcnI0bNgwBQUF6csvv9SWLVt0/vx5vfjii7pw4YKefPJJ9e7dW4mJiZoxY4Zmzpypb7/9VpKUkJCg6dOna9asWUpMTFSvXr00YsQIXb58WZIUHx+vr776Su+++6527twpd3d3TZ482brvUaNGydPTUzt37tSGDRu0e/durVixoqSfAgAAAJQBriW9w5MnT+qee+5RdHS0XFxc5Obmpv79+2vcuHH6+OOP5eXlpQEDBkiS2rRpo549e2rNmjVq1qyZ1q9frx49eig4OFiSNGTIEK1bt07btm1TRESE1q9frzFjxqhWrVqSpEmTJql9+/ZKTU1VQUGBvv76a+3YsUMeHh6qW7euoqKiNGfOHA0bNsyuY7BYLMX6nLi4uBRrf0BxKO7zvLhx3aCsKuvXDnC7s+caLPEgfPfdd2vp0qU2yz766CM1adJER44ckZ+fn01bw4YNtWHDBklSSkqKIiIirmo/dOiQLl26pFOnTtlsX716dVWpUkWHDx+WJHl5ecnHx8fa3qBBA508eVIXL15U5cqVi3wMycnJRV73Rjw8PNS4ceNi6w8oLocPH7a+21LWcN2gLCvL1w4AWyUehH/PMAwtWLBAn3/+uVavXq2VK1fKw8PDZh13d3dlZ2dLkrKysq7bnpWVJUny9PS8qr2w7Y/bFj7Ozs62KwgHBAQwGoXbnr+/f2mXANySuHaA0mWxWIo8aFlqQTgzM1MTJ07UgQMHtHr1avn7+8vDw0OXLl2yWS8nJ0cVKlSQdCW45uTkXNVetWpVa6j946vwwu0Nw7iqrfBxYf9F5eLiQhDGbY9zHLg5XDvAraNU7hpx/PhxRUREKDMzUxs2bLC+evbz89ORI0ds1k1JSVGjRo0kSY0aNbpue5UqVeTj46OUlBRrW1pams6fPy8/Pz81atRI58+fV3p6urX96NGj8vX1VaVKlRx1qAAAACijSjwIX7hwQYMHD1aLFi20bNkyeXt7W9vCwsKUnp6uFStWKC8vT3v27NHmzZut84IjIyO1efNm7dmzR3l5eVqxYoUyMjIUFhYmSQoPD1d8fLxSU1OVmZmpmJgYhYSEqF69eqpfv76Cg4MVExOjzMxMpaamavHixYqMjCzppwAAAABlQIlPjdi4caNOnjypDz74QB9++KFNW1JSkpYvX64ZM2YoNjZW3t7emjx5slq3bi3pyl0kpkyZoqlTp+r06dNq2LChlixZIi8vL0lSdHS08vPzNWDAAGVlZSk0NFQLFiyw9h8bG6tp06apS5cucnZ2Vu/evRUVFVVShw4AAIAyxMkwDKO0i7hVWCwW7du3T4GBgcU+B+z7AYOU/f/vbgGUJk9/fzVes6q0yyiSkYs/Vsqv50q7DECS1LBWVS2K6lraZQCmZ09e4yuWAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKdkVhAsKCvSf//xHknT69GmNGjVK06ZNU2ZmpkOKAwAAABzFriA8a9YsvfLKK5KkKVOmKD09XT/++KOmT5/ukOIAAAAAR3G1Z+Xt27fr7bffVlZWlr788ktt3bpV1apVU5cuXRxVHwAAAOAQdo0Inzt3TrVr11ZiYqJq1qypO++8Ux4eHrJYLI6qDwAAAHAIu0aE69atq/fee08ffvih2rdvr4KCAi1fvlwNGzZ0VH0AAACAQ9gVhCdMmKDx48fL3d1d06ZN0549e7Rs2TK9/vrrjqoPAAAAcAi7gnD9+vX12WefWR97eXlpx44dOnbsWLEXBgAAADiSXXOEu3XrZvPYzc1Nrq6u6t+/f7EWBQAAADjaDUeEjx07pqFDh8owDF2+fPmqO0Tk5OSoTp06DisQAAAAcIQbBuE777xTkyZN0rlz5zR16lSNHDnSpr18+fJq1aqVwwoEAAAAHKFIc4Q7deokSbrjjjsUEhLi0IIAAACAkmDXh+WCg4O1bds2/fzzzyooKLBp++NIMQAAAFCW2RWEp0yZoq1bt+qee+6Rq+v/NnVycir2wgAAAABHsisIf/bZZ1q5cqUCAgIcVQ8AAABQIuy6fZphGGrcuLGjagEAAABKjF1B+MEHH9SyZcscVQsAAABQYuyaGnHgwAH997//VXx8vLy9vW3aPv3002ItDAAAAHAku4Jw37591bdvX0fVAgAAAJQYu4Jwnz59rL+fPXv2qlFhAAAA4FZh1xzh/Px8zZ8/X8HBwercubNSU1MVERGhtLQ0R9UHAAAAOIRdQTguLk579uzRwoULVa5cOVWrVk2+vr565ZVXHFUfAAAA4BB2TY3YvHmz3n77bfn4+MjJyUmenp6aOXOmwsLCHFUfAAAA4BB2jQhnZ2db5wUbhiFJcnd3l7OzXd0AAAAApc6uBBsYGKhFixZJ+t/XKq9atYpvmgMAAMAtx66pEZMmTdLgwYO1adMmZWVlqXv37srKytJbb73lqPoAAAAAh7ArCNetW1dbt27V559/rpMnT8rX11cdO3ZUxYoVHVUfAAAA4BB2BWFJ8vDwUPfu3R1RCwAAAFBiihSEW7Roof/+97+65557rHOD/+jgwYPFWhgAAADgSEUKwm+++aYkaeXKlQ4tBgAAACgpRQrCLVu2lCR9/PHHmjx58lXt48aNU0hISPFWBgAAADjQDYPw6dOntXv3bknS+vXr1bRpU5v2S5cu6T//+Y9jqgMAAAAc5IZBuGrVqlq9erXOnj2r3NxcxcbG2rSXL19eI0eOdFiBAAAAgCPcMAi7ublpw4YNkqShQ4dq2bJlDi8KAAAAcDS7vlnuWiE4Pz9f33//fbEVBAAAAJQEu+4jvH37dk2dOlWnT5+WYRj/68TVVcnJycVeHAAAAOAodgXhOXPmqGvXrqpcubIOHz6sBx98UK+99poiIyMdVR8AAADgEHZNjUhNTdXYsWPVo0cPnTt3Tl27dtXcuXP1zjvvOKo+AAAAwCHsCsLe3t5ydnZW7dq1dfToUUlSw4YNderUKYcUBwAAADiKXUHY399fCxculCRVq1ZN27dvV0JCgsqXL++Q4gAAAABHsSsIjx07Vp988onS0tL07LPPKioqSkOGDNHQoUMdVR8AAADgEHZ9WK5BgwbaunWrJKlOnTr6/PPPlZWVpbvuusshxQEAAACOUuQgvGnTJh04cED33nuvOnToIEmqWbOmwwoDAAAAHKlIUyOWLVumKVOmKCkpSc8884zWr1/v6LoAAAAAhypSEP6///s/LVu2TO+++67mzJmjtWvXOrouAAAAwKGKFITPnj2rVq1aSZI6deqk1NRUhxYFAAAAOFqRgrCz8/9Wc3NzK7adnz17VmFhYUpISLAumzJlipo2baqgoCDrz7p166ztmzZtUlhYmAIDAxUeHq6kpCRrm8Vi0ezZs9W2bVsFBQVpxIgROnPmjLU9IyNDUVFRatmypUJDQzVjxgzl5+cX2/EAAADg1lGkIGwYRrHveO/everfv7+OHz9uszw5OVnTp09XUlKS9ad///6SpISEBE2fPl2zZs1SYmKievXqpREjRujy5cuSpPj4eH311Vd69913tXPnTrm7u2vy5MnWvkeNGiVPT0/t3LlTGzZs0O7du7VixYpiPzYAAACUfUUKwgUFBfrmm2+UmJioxMRE5efn2zxOTEy0a6ebNm3SmDFjNHr0aJvlubm5+uGHH9S0adNrbrd+/Xr16NFDwcHBKleunIYMGaKqVatq27Zt1vbhw4erVq1aqlixoiZNmqQdO3YoNTVVx44d09dff62xY8fKw8NDdevWVVRUlNasWWNX7QAAALg9FOn2aTk5ORo4cKDNst8/dnJy0sGDB4u80/bt26tnz55ydXW1CcOHDh1Sfn6+YmNjtXfvXlWqVEkREREaNmyYnJ2dlZKSooiICJu+GjZsqEOHDunSpUs6deqU/Pz8rG3Vq1dXlSpVdPjwYUmSl5eXfHx8rO0NGjTQyZMndfHiRVWuXLnI9VssliKvWxQuLi7F2h9QHIr7PC9uXDcoq8r6tQPc7uy5BosUhA8dOnTTxVxLjRo1rrn80qVLCgkJ0aBBgzRv3jwdPHhQ0dHRcnZ21rBhw5SVlSUPDw+bbdzd3ZWdna2srCxJkqen51XthW1/3LbwcXZ2tl1BODk5ucjr3oiHh4caN25cbP0BxeXw4cPWaUdlDdcNyrKyfO0AsGXXN8s5Wrt27dSuXTvr42bNmmnw4MHatm2bhg0bJg8PD+Xk5Nhsk5OTo6pVq1pD7R//8cnJyVGFChVkGMZVbYWPK1SoYFedAQEBjEbhtufv71/aJQC3JK4doHRZLJYiD1qWqSD8ySefKD09XQ8//LB1WW5urtzd3SVJjRo10pEjR2y2SUlJ0X333acqVarIx8dHKSkp1ukRaWlpOn/+vPz8/FRQUKDz588rPT1d1atXlyQdPXpUvr6+qlSpkl11uri4EIRx2+McB24O1w5w6yjSh+VKimEYmjlzpnbv3i3DMJSUlKSVK1da7xoRGRmpzZs3a8+ePcrLy9OKFSuUkZGhsLAwSVJ4eLji4+OVmpqqzMxMxcTEKCQkRPXq1VP9+vUVHBysmJgYZWZmKjU1VYsXL1ZkZGRpHjIAAABKSZFGhLdv364OHTo4uhaFhYVp4sSJmjp1qk6fPq3q1avrmWee0UMPPSRJatOmjaZMmWJtb9iwoZYsWSIvLy9JUnR0tPLz8zVgwABlZWUpNDRUCxYssPYfGxuradOmqUuXLnJ2dlbv3r0VFRXl8OMCAABA2eNkFOEmwa1atVJiYqK6du2qjz/+uCTqKpMsFov27dunwMDAYn/r6/sBg5T9/+9uAZQmT39/NV6zqrTLKJKRiz9Wyq/nSrsMQJLUsFZVLYrqWtplAKZnT14r0ohwuXLlNGPGDJ08eVKLFi265jojR460v1IAAACglBQpCL/00ktav369DMOw+TrkQk5OTsVeGAAAAOBIRQrCDzzwgB544AH17dtXq1bdGm+ZAgAAAH/GrtunrV+/XllZWdq+fbtOnDihmjVrqlOnTnZ9GQUAAABQFtgVhI8dO6YhQ4YoLy9PtWvX1smTJzV79mz961//UqNGjRxVIwAAAFDs7LqP8MyZM/X3v/9dO3bs0DvvvKMdO3booYce0qxZsxxVHwAAAOAQdgXh/fv3a/To0XJ2vrKZs7OznnvuOe3fv98hxQEAAACOYlcQdnFxUWZmps2yzMxMeXh4FGtRAAAAgKPZFYQ7deqkF154QT/++KNyc3N19OhRjR07Vp06dXJUfQAAAIBD2BWEX3jhBeXn56t79+5q3ry5HnzwQZUvX15jxoxxVH0AAACAQ9h11wgvLy+tWrVKqampysjIUJ06dVSjRg1H1QYAAAA4jF1BuFDdunVVt27d4q4FAAAAKDF2TY0AAAAAbhcEYQAAAJiSXUF469atys3NdVQtAAAAQImxKwj/4x//kJOTk6NqAQAAAEqMXUE4ICBA27Ztc1QtAAAAQImx664R58+f1/jx4/XSSy+pevXqNqPDn376abEXBwAAADiKXUF44MCBjqoDAAAAKFF2BeE+ffpYfz979qy8vb2LvSAAAACgJNg1Rzg/P1/z589XcHCwOnfurNTUVEVERCgtLc1R9QEAAAAOYVcQjouL0549e7Rw4UKVK1dO1apVk6+vr1555RVH1QcAAAA4hF1TIzZv3qy3335bPj4+cnJykqenp2bOnKmwsDBH1QcAAAA4hF0jwtnZ2dZ5wYZhSJLc3d3l7MwX1AEAAODWYleCDQwM1KJFiyTJeuu0VatWKSAgoPgrAwAAABzIrqkRkyZN0uDBg7Vp0yZlZWWpe/fuysrK0ltvveWo+gAAAACHsCsI161bV1u3btUXX3yhEydOyNfXVx07dlTFihUdVR8AAADgEHYFYUkqX768atWqJWdnZ9WpU4cQDAAAgFuSXUH42LFjeuqpp/TLL7/Iy8tL586dU+PGjfXaa6+pZs2ajqoRAAAAKHZ2fVhu+vTpat26tb755ht9+eWXSkhIUMOGDTVt2jRH1QcAAAA4hF0jwsnJyVq8eLHc3NwkSRUrVtTLL7+sjh07OqI2AAAAwGHsGhGuU6eOjh8/brPs1KlT8vLyKs6aAAAAAIcr0ojwe++9J0lq0aKFhg8frqFDh6pOnTo6c+aMli9frvvvv9+RNQIAAADFrkhBODY21vq7k5OTli9fbtP+4YcfauzYscVbGQAAAOBARQrCn332maPrAAAAAEqU3fcR/uabb3TixAkZhmGzvHfv3sVVEwAAAOBwdgXhKVOmaMOGDapZs6acnJysy52cnAjCAAAAuKXYFYS3bdumdevWqWnTpo6qBwAAACgRdt0+rVKlSvLz83NULQAAAECJsWtEeMSIEZo0aZKGDh2qypUr27TVrl27WAsDAAAAHMmuIPzbb79p27Zt2rJli3WZYRhycnLSwYMHi704AAAAwFHsCsKLFy/W5MmT1b59ezk72zWrAgAAAChT7ArCFotFjzzyiKNqAQAAAEqMXcO64eHhWrlypaNqAQAAAEqMXSPC3377rd566y0tXLhQVapUsbmX8KefflrsxQEAAACOYlcQjoyMVGRkpKNqAQAAAEqMXUG4T58+jqoDAAAAKFF2BeFBgwbZTIf4PeYOAwAA4FZiVxAODQ21eXzu3Dl9+OGH6t+/f7EWBQAAADiaXUF45MiRVy0LDw/XP//5z2IrCAAAACgJf/lbMZo0aaLvvvuuOGoBAAAASoxdI8InT560eZyXl6etW7eqVq1axVoUAAAA4Gh2BeHOnTvbfFjOMAxVqVJFr7zySrEXBgAAADiSXUH4j1+a4eLiomrVqqlcuXLFWhQAAADgaHYF4Tp16jiqDgAAAKBEFSkI/3FKxB85OTnpk08+KbaiAAAAAEcrUhB+5plnrrl83759WrdunRo3blysRQEAAACOVqTbp/Xp0+eqn3Pnzundd9/VI488orVr197Uzs+ePauwsDAlJCRYl+3fv199+/ZVUFCQOnfurPXr19tss2nTJoWFhSkwMFDh4eFKSkqytlksFs2ePVtt27ZVUFCQRowYoTNnzljbMzIyFBUVpZYtWyo0NFQzZsxQfn7+TdUOAACAW5vd9xG+ePGiRowYofj4eM2ZM0dTpkyRm5ub3Tveu3ev+vfvr+PHj1uXXbhwQU8++aR69+6txMREzZgxQzNnztS3334rSUpISND06dM1a9YsJSYmqlevXhoxYoQuX74sSYqPj9dXX32ld999Vzt37pS7u7smT55s7X/UqFHy9PTUzp07tWHDBu3evVsrVqywu3YAAADc+uwKwvv27dNDDz2k06dPa+PGjXrggQduaqebNm3SmDFjNHr0aJvlH3/8sby8vDRgwAC5urqqTZs26tmzp9asWSNJWr9+vXr06KHg4GCVK1dOQ4YMUdWqVbVt2zZr+/Dhw1WrVi1VrFhRkyZN0o4dO5Samqpjx47p66+/1tixY+Xh4aG6desqKirK2jcAAADMpch3jVi6dKkWLlyo/v37a9y4cTc1Clyoffv26tmzp1xdXW3C8JEjR+Tn52ezbsOGDbVhwwZJUkpKiiIiIq5qP3TokC5duqRTp07ZbF+9enVVqVJFhw8fliR5eXnJx8fH2t6gQQOdPHlSFy9eVOXKlYtcv8ViKfrBFoGLi0ux9gcUh+I+z4sb1w3KqrJ+7QC3O3uuwSIF4aefflrbt2/XwIED1bVrV+3fv/+qdVq1alXkndaoUeOay7OysuTh4WGzzN3dXdnZ2Tdsz8rKkiR5enpe1V7Y9sdtCx9nZ2fbFYSTk5OLvO6NeHh48GFDlEmHDx+2Tjsqa7huUJaV5WsHgK0iBeEvvvhCkrRq1SqtWrXqqnYnJycdPHjwLxfj4eGhS5cu2SzLyclRhQoVrO05OTlXtVetWtUaav/4j0/h9oZhXNVW+Liw/6IKCAhgNAq3PX9//9IuAbglce0ApctisRR50LJIQfjQoUN/qaCi8vPz01dffWWzLCUlRY0aNZIkNWrUSEeOHLmq/b777lOVKlXk4+OjlJQU6/SItLQ0nT9/Xn5+fiooKND58+eVnp6u6tWrS5KOHj0qX19fVapUya46XVxcCMK47XGOAzeHawe4ddh91whHCgsLU3p6ulasWKG8vDzt2bNHmzdvts4LjoyM1ObNm7Vnzx7l5eVpxYoVysjIUFhYmCQpPDxc8fHxSk1NVWZmpmJiYhQSEqJ69eqpfv36Cg4OVkxMjDIzM5WamqrFixcrMjKyNA8ZAAAApcSur1h2tKpVq2r58uWaMWOGYmNj5e3trcmTJ6t169aSpDZt2mjKlCmaOnWqTp8+rYYNG2rJkiXy8vKSJEVHRys/P18DBgxQVlaWQkNDtWDBAmv/sbGxmjZtmrp06SJnZ2f17t1bUVFRpXCkAAAAKG1OhmEYpV3ErcJisWjfvn0KDAws9re+vh8wSNn//+4WQGny9PdX4zVXfxagLBq5+GOl/HqutMsAJEkNa1XVoqiupV0GYHr25LUyNTUCAAAAKCkEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJgSQRgAAACmRBAGAACAKRGEAQAAYEoEYQAAAJhSmQzC27ZtU+PGjRUUFGT9GTt2rCRp//796tu3r4KCgtS5c2etX7/eZttNmzYpLCxMgYGBCg8PV1JSkrXNYrFo9uzZatu2rYKCgjRixAidOXOmRI8NAAAAZUOZDMLJycl66KGHlJSUZP2ZM2eOLly4oCeffFK9e/dWYmKiZsyYoZkzZ+rbb7+VJCUkJGj69OmaNWuWEhMT1atXL40YMUKXL1+WJMXHx+urr77Su+++q507d8rd3V2TJ08uzUMFAABAKXEt7QKuJTk5WQ888MBVyz/++GN5eXlpwIABkqQ2bdqoZ8+eWrNmjZo1a6b169erR48eCg4OliQNGTJE69at07Zt2xQREaH169drzJgxqlWrliRp0qRJat++vVJTU1W3bt0i12exWIrhKP/HxcWlWPsDikNxn+fFjesGZVVZv3aA250912CZC8IFBQU6cOCAPDw8tHTpUlksFnXo0EFjxozRkSNH5OfnZ7N+w4YNtWHDBklSSkqKIiIirmo/dOiQLl26pFOnTtlsX716dVWpUkWHDx+2KwgnJyf/hSO05eHhocaNGxdbf0BxOXz4sPXdlLKG6wZlWVm+dgDYKnNB+OzZs2rcuLG6deum2NhYnTt3TuPHj9fYsWNVo0YNeXh42Kzv7u6u7OxsSVJWVtZ127OysiRJnp6eV7UXthVVQEAAo1G47fn7+5d2CcAtiWsHKF0Wi6XIg5ZlLghXr15da9assT728PDQ2LFj1a9fP4WHhysnJ8dm/ZycHFWoUMG67rXaq1atag3If3yV/vvti8rFxYUgjNse5zhwc7h2gFtHmfuw3KFDh/Tqq6/KMAzrstzcXDk7O6tZs2Y6cuSIzfopKSlq1KiRJKlRo0bXba9SpYp8fHyUkpJibUtLS9P58+evmm4BAACA21+ZC8JeXl5as2aNli5dqvz8fJ08eVJz5sxRnz591K1bN6Wnp2vFihXKy8vTnj17tHnzZuu84MjISG3evFl79uxRXl6eVqxYoYyMDIWFhUmSwsPDFR8fr9TUVGVmZiomJkYhISGqV69eaR4yAAAASkGZmxrh6+urN954Q/PmzVN8fLzKly+vHj16aOzYsSpfvryWL1+uGTNmKDY2Vt7e3po8ebJat24t6cpdJKZMmaKpU6fq9OnTatiwoZYsWSIvLy9JUnR0tPLz8zVgwABlZWUpNDRUCxYsKL2DBQAAQKlxMn4/BwF/ymKxaN++fQoMDCz2OWDfDxik7MOHi7VP4GZ4+vur8ZpVpV1GkYxc/LFSfj1X2mUAkqSGtapqUVTX0i4DMD178lqZmxoBAAAAlASCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCXTBeGMjAxFRUWpZcuWCg0N1YwZM5Sfn1/aZQEAAKCEmS4Ijxo1Sp6entq5c6c2bNig3bt3a8WKFaVdFgAAAEqYqYLwsWPH9PXXX2vs2LHy8PBQ3bp1FRUVpTVr1pR2aQAAlIiCgoLSLgGwUZrnpGup7bkUHDlyRF5eXvLx8bEua9CggU6ePKmLFy+qcuXKf7q9YRiSpNzcXLm4uBRbXS4uLirfqKEMN7di6xO4WeXvrCeLxSKLxVLapfwpFxcX1a9ZWeVcnEq7FECSVKdapVvm2nlv/yalZ6eXdimAqntWV8+mvZSbm1tsfRZeg4W57c+YKghnZWXJw8PDZlnh4+zs7BsG4cJXLN9//33xF9fzweLvE7gJOZL27dtX2mUUSae7ykl3eZd2GYDVrXLt1FU91XWrV9plAFK+466boow0myoIe3p66vLlyzbLCh9XqFDhhtu7uroqICBAzs7OcnJiFAoAAKCsMQxDBQUFcnW9ccw1VRBu1KiRzp8/r/T0dFWvXl2SdPToUfn6+qpSpUo33N7Z2VluTF8AAAC4LZjqw3L169dXcHCwYmJilJmZqdTUVC1evFiRkZGlXRoAAABKmJNRlJnEt5H09HRNmzZNCQkJcnZ2Vu/evTVmzJhi/fAbAAAAyj7TBWEAAABAMtnUCAAAAKAQQRgAAACmRBAGAACAKRGEAeA2c+zYsdIuATCdn3/+ubRLwE0gCAPAbWT27NmKj4//y/188803CgoKKrb1gLLul19+kb+/v3755Re7t/3ss880dOhQ6+NBgwYpLi6uOMuDgxCEAeA2cu7cuWLpp2XLlkpKSiq29YDb2fnz58VNuG5NBGGUqAMHDmjQoEEKCgpS+/bttXDhQhmGoQ0bNig8PFyhoaEKCgrSU089pbNnz0qS4uLi9MQTTygiIkIhISFKTExUZmampk2bpg4dOqhNmzYaPXq00tPTJUnjxo3TCy+8YLPfUaNG6R//+Mc1X/HHxcVp0KBB1se7du1SZGSkWrZsqR49eujf//53CTwzMLPC8/K9995Tp06dFBgYqIkTJ+qbb75Rr169FBQUpMGDB+vs2bMyDEMrV65Ut27d1LJlSz366KP67rvvJEmvvfaaNm/erM2bN6tXr16SpP/+97967LHH1L59ewUEBCg8PFz79u2TJA0YMEDz5s2zqaVv375aunSpEhIS5O/vb10eFxenDh06KCQkRBEREfr0008l6ar1Dh8+rOHDhyskJET33Xefpk6dqkuXLkmSNm7cqEceeUSvvPKKWrdurTZt2mjSpEnKy8tz2HML2Ou9997T/fffr7Zt22ry5MnKzMyUJH3yyScKDw9XixYt1K1bN61YsUIFBQVKSEjQlClTdPLkSQUFBen06dOSrkxReuKJJ9SqVSt16dJFH374YWkeFq7HAErIuXPnjJCQECMuLs747bffjGPHjhn33Xef8cYbbxjNmzc39u/fbxiGYfz6669G165djfnz5xuGYRixsbHGPffcY+zatcvIzMw08vLyjGeeecZ44oknjPT0dCMzM9OYPHmy0b9/f6OgoMBITEw0mjVrZly6dMkwDMO4cOGCERAQYHz33XdGamqq4efnZ6Smplrrio2NNQYOHGgYhmEcPHjQaNasmfHRRx8Z+fn5xt69e43Q0FBjx44dJftkwVQKz8tRo0YZ2dnZxuHDh42//e1vRq9evYxTp04ZGRkZRlhYmBEXF2esXr3a6Nixo3Hw4EEjNzfXWL9+vdGyZUsjLS3NMAzDGD9+vDF+/HjDMAzj8uXLRkhIiLF69WrDYrEYWVlZxnPPPWc88sgjhmEYxqZNm4wOHToYFovFMAzDSElJMZo0aWKkpaUZe/bsMfz8/AzDMIzdu3cb7dq1M06fPm0UFBQYb7/9thEaGmrk5ubarHf27FkjJCTEmDVrlnH58mXjzJkzxmOPPWY8/fTThmEYxrvvvmv4+fkZixcvNnJzc439+/cbgYGBxpYtW0r0+QaupfA6HDx4sJGRkWGkpaUZffv2NSZOnGjs3r3baNKkibF161YjLy/P+O6774z77rvPeOuttwzDuHJud+rUydrXwIEDjdatWxvfffedYbFYjEWLFhmBgYFGbm5uKR0drocRYZSYzz//XOXLl1d0dLTc3NxUr149vfXWW+rZs6e2bNmiZs2a6cKFCzpz5oy8vb2tr6olqW7dumrTpo0qVKigCxcu6KOPPtKkSZNUrVo1VahQQS+++KKSk5N14MABtWzZUrVq1dIHH3wgSdqyZYvuvvtuNWnS5IY1rl27Vl26dFHXrl3l4uKiFi1aqF+/flqzZo3Dnheg0BNPPCEPDw/5+fmpRo0a6tOnj3x8fOTt7a3AwECdOHFCa9as0VNPPaV77rlH5cqVU2RkpBo0aHDNdy7KlSundevW6dFHH1Vubq5OnDghLy8v67X197//XVlZWUpISJB0ZcS2Q4cOql69uk0/5cuX14ULF/TOO+/o+++/V9++fbV7926VK1fOZr1PP/1U5cqV05gxY+Tu7q4aNWropZde0meffaa0tDRJkru7u55++mmVK1dOzZo1k7+/v3766SdHPJ3ATZkwYYK8vb1VvXp1Pfvss9q8ebM2btyoLl26qHv37nJ1dVWTJk305JNPau3atdftp3v37mrSpImcnZ3VvXt3ZWdnKyMjowSPBEXhWtoFwDzS0tJUq1YtOTk5WZfdfffdys3N1auvvqrNmzfL09NT/v7+yszMtJlvVbNmTevvJ06ckCT169fPpn8XFxf98ssvatq0qfr27av3339fffv21aZNm9S3b98i1XjixAnt2bNHLVu2tC6zWCyqV6/eTR0zYA8vLy/r7y4uLqpcubL1sbOzswzD0IkTJzR79my9+uqr1rb8/Hw1bdr0qv5cXFyUkJCg4cOHKzs7Ww0bNpSrq6v12nJ3d1fPnj313nvvKSQkRP/+9781ffr0q/oJCgpSXFycVq1apaVLl8rd3V2DBg3SiBEjbNbLyMhQ7dq1bb6y/o477pD0v+u2WrVqNv8GlCtXjrmVKFMKz1lJqlWrlnJzc3X69GkFBARctV7heX0tv7+eC1805ufnF2+x+MsIwigxvr6++vXXX2UYhvU/wk8++USHDh3SV199pc2bN1tHop5++mmbbX//H6ePj48k6YMPPlCNGjWsy1NSUlS3bl1JUp8+fbRgwQLt2rVLhw8f1oMPPihJ1v+gfz8n8fcfLvL19VWfPn00bdo067IzZ87wHzVKxO/P8+vx9fXVs88+qx49eliXHT9+3OY/3UL79+/X9OnTtXbtWmtQXr58uc0IbL9+/fTII48oLCxMTk5Ouvfee6/q5+TJk6pWrZqWLVum3Nxc7d69WyNHjlSTJk3k4eFhXa9OnTo6efKkLBaL9Vo7fvy4JKlGjRr68ccfi/ZEAKXo9OnTqlixoqQr8/c9PT115513Ws/lQqmpqTb/B+HWxNQIlJiOHTsqPz9fr7/+unJzc3X8+HHFxMRo7dq1cnV1Vbly5ZSfn6/3339fO3fuvO4HaHx8fNSxY0fNmDFD586dU15enuLj4xUZGamLFy9Kkry9vdWpUydNnjxZXbt2VZUqVSRdGY2qUqWKtm7dKsMwdODAAZsPMERGRmrLli368ssvVVBQoJ9//lkDBw7U8uXLHf8EAUXQr18/xcfH6+jRo5KknTt3qkePHkpMTJQkubm5WT+cdunSJTk7O8vd3V2StG/fPq1cuVK5ubnW/u655x7dfffdiomJUZ8+fWxGcwslJydr2LBhOnTokNzc3FStWjVJUtWqVW3W69ChgyTp1VdfVU5OjtLS0jRjxgy1bt1aderUKeZnAnCMOXPm6MKFCzp16pQWLlyo/v37KyIiQp999pk++OADWSwWff/991qyZIkiIiIkXZk+dPnyZUZ8b0GMCKPEVK5cWcuWLdPMmTP11ltvycPDQwMGDFC/fv00YcIEderUSeXLl1fjxo316KOPas+ePdft65///Kfmzp2r3r17KzMzU40aNdLSpUttXp3369dPH330kWJiYqzL3NzcNH36dMXGxmrZsmVq2rSp+vXrp71790qSmjdvrnnz5mnevHl67rnn5OHhoQcffFDPP/+8454YwA5DhgyRYRiKiorSmTNn5OPjo5dfflldunSRdGVe4ujRo9WxY0d9/vnnevTRRzVgwAAVFBTojjvu0KBBgzR37lylp6db34Hp16+fpkyZosjIyGvus1u3bvr55581YsQInTt3TtWqVdOLL76o5s2bW+cXS1KlSpX01ltvadasWdZQ3KVLF40bN87BzwpQfIKCgvT3v/9dzs7OevDBBzV69GiVL19eCxcu1GuvvaYXX3xRVatW1SOPPKLhw4dLklq1aqVq1aqpVatWfzpvGGWPk8F7vgAAADAhpkYAAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDAADAlAjCAAAAMCWCMAAAAEyJIAwAAABTIggDwC3m5MmTmjJlijp37qzAwECFhIRo6NCh+uqrrxyyv4SEBPn7+zukbwAoTQRhALiF/PDDD+rVq5dyc3O1ZMkS7d27Vx9//LF69eql6Ohobd++vbRLBIBbhmtpFwAAKLqXX35Z7dq108yZM63LvLy89NBDD6mgoEB5eXmSpF27dmnevHn6+eef5ePjo6eeekq9evWSJE2YMEFubm46c+aMEhIS5O3trcGDB+uxxx6TJJ05c0Yvv/yyvv76a1WtWlU9evSwqeH48eOKiYlRUlKSPD09rSHczc1NGzdu1OrVq+Xl5aVvv/1WU6ZMUc+ePUvo2QEA+zAiDAC3iFOnTikpKUkPP/zwNdv79Omj+++/X4cOHdKIESP05JNPKiEhQdOnT1dMTIx27txpXXfjxo0aNGiQEhMTNXz4cM2aNUunT5+WJI0ePVqurq7asWOHVq9erR07dli3y87O1pAhQ9SoUSPt2LFD//d//6ddu3YpLi7Ous6BAwfUs2dP7dq1S2FhYQ56NgDgryMIA8At4tSpU5IkX19f67Ldu3erZcuWatmypYKCgtStWzetXbtWXbp0UdeuXeXi4qIWLVqoX79+WrNmjXW70NBQtWvXTq6uroqIiJDFYtHx48d14sQJffPNNxozZowqVqyoWrVqaeTIkdbtvvjiC+Xm5ur5559X+fLlVatWLT333HM2fZcrV04PPfSQ3Nzc5O7uXgLPDADcHKZGAMAtokaNGpKk06dP66677pIktWnTRt98842kK6O8ixYt0okTJ7Rnzx61bNnSuq3FYlG9evWu6ku6ElwlqaCgwDoqXLt2bWv777c7ceKEzp49q1atWlmXGYahvLw8ZWRkWPt2dmacBUDZRxAGgFtEnTp1FBAQoPXr16t169bXXc/X11d9+vTRtGnTrMvOnDkjwzBuuI/C0ebU1FQ1aNBA0v9Gogvb69Wrpw8//NC6LDMzUxkZGfL29pYkOTk52XdgAFBKeMkOALeQwrm+L730kn766ScZhqHMzEy99957iouLU82aNRUZGaktW7boyy+/VEFBgX7++WcNHDhQy5cvv2H/tWvXVvv27TVz5kxduHBBaWlpWrRokbW9U6dOysrK0tKlS5Wbm6uLFy9q/PjxGj16NAEYwC2HIAwAtxA/Pz9t2bJF7u7uevrppxUcHKwOHTronXfe0bBhw7Ry5Uo1b95c8+bN07x589SqVSsNHDhQnTt31gsvvFCkfcydO1eVKlVSp06dFBERobZt21rbKlasqBUrVighIUH33Xef7r//fjk7Oys+Pt5RhwwADuNkFOW9MgAAAOA2w4gwAAAATIkgDAAAAFMiCAMAAMCUCMIAAAAwJYIwAAAATIkgDAAAAFMiCAMAAMCUCMIAAAAwJYIwAAAATIkgDAAAAFMiCAMAAMCU/h9Qn/BsJLDyyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7. Gender\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.countplot(x=combined_data['DBSOURCE'], palette='Set1')\n",
    "plt.title('Gender Distribution of Patients')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Number of Patients')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a1bc5d7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    AGE  AGE_values            GENDER           ETHNICITY  \\\n",
      "0  Mean   74.832472  Unique values: 2   Unique values: 41   \n",
      "1   Min   18.000000    Most common: M  Most common: WHITE   \n",
      "2   Max  311.000000      Count: 27880        Count: 35133   \n",
      "\n",
      "               DBSOURCE      LAST_CAREUNIT          ADMISSION_TYPE  \n",
      "0      Unique values: 3   Unique values: 5        Unique values: 3  \n",
      "1  Most common: carevue  Most common: MICU  Most common: EMERGENCY  \n",
      "2          Count: 27236       Count: 20064            Count: 41072  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Assuming you have loaded your data into a DataFrame called combined_data\n",
    "# combined_data = pd.read_csv('path_to_your_data.csv')\n",
    "\n",
    "# Select the columns of interest\n",
    "selected_columns = ['AGE', 'GENDER', 'ETHNICITY', 'DBSOURCE', 'LAST_CAREUNIT', 'ADMISSION_TYPE']\n",
    "subset_data = combined_data[selected_columns]\n",
    "\n",
    "# Create an overview table\n",
    "overview_table = pd.DataFrame()\n",
    "\n",
    "# For numerical columns like 'AGE', we can provide mean, min, max, etc.\n",
    "overview_table['AGE'] = ['Mean', 'Min', 'Max']\n",
    "overview_table['AGE_values'] = [subset_data['AGE'].mean(), subset_data['AGE'].min(), subset_data['AGE'].max()]\n",
    "\n",
    "# For categorical columns, we can provide the count of unique values or the most common value\n",
    "for col in ['GENDER', 'ETHNICITY', 'DBSOURCE', 'LAST_CAREUNIT', 'ADMISSION_TYPE']:\n",
    "    overview_table[col] = [f\"Unique values: {subset_data[col].nunique()}\", \n",
    "                           f\"Most common: {subset_data[col].mode().iloc[0]}\",\n",
    "                           f\"Count: {subset_data[col].value_counts().iloc[0]}\"]\n",
    "\n",
    "print(overview_table)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e44de9d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                 AGE  \\\n",
      "General Information               Average Age: 74.83   \n",
      "Most Common Value                   Youngest Age: 18   \n",
      "Statistics for Most Common Value     Oldest Age: 311   \n",
      "\n",
      "                                                             GENDER  \\\n",
      "General Information               There are 2 unique gender values.   \n",
      "Most Common Value                      The most common gender is M.   \n",
      "Statistics for Most Common Value     This value occurs 27880 times.   \n",
      "\n",
      "                                                              ETHNICITY  \\\n",
      "General Information               There are 41 unique ethnicity values.   \n",
      "Most Common Value                   The most common ethnicity is WHITE.   \n",
      "Statistics for Most Common Value         This value occurs 35133 times.   \n",
      "\n",
      "                                                              DBSOURCE  \\\n",
      "General Information                There are 3 unique dbsource values.   \n",
      "Most Common Value                 The most common dbsource is carevue.   \n",
      "Statistics for Most Common Value        This value occurs 27236 times.   \n",
      "\n",
      "                                                             LAST_CAREUNIT  \\\n",
      "General Information               There are 5 unique last_careunit values.   \n",
      "Most Common Value                   The most common last_careunit is MICU.   \n",
      "Statistics for Most Common Value            This value occurs 20064 times.   \n",
      "\n",
      "                                                                ADMISSION_TYPE  \n",
      "General Information                  There are 3 unique admission_type values.  \n",
      "Most Common Value                 The most common admission_type is EMERGENCY.  \n",
      "Statistics for Most Common Value                This value occurs 41072 times.  \n"
     ]
    }
   ],
   "source": [
    "# Modify the index for better understanding\n",
    "overview_table.index = ['General Information', 'Most Common Value', 'Statistics for Most Common Value']\n",
    "\n",
    "# Update the AGE column to be more descriptive\n",
    "overview_table['AGE'] = ['Average Age: ' + str(round(overview_table['AGE_values']['General Information'], 2)),\n",
    "                         'Youngest Age: ' + str(int(overview_table['AGE_values']['Most Common Value'])),\n",
    "                         'Oldest Age: ' + str(int(overview_table['AGE_values']['Statistics for Most Common Value']))]\n",
    "overview_table.drop(columns=['AGE_values'], inplace=True)\n",
    "\n",
    "# Update the other columns to be more descriptive\n",
    "for col in ['GENDER', 'ETHNICITY', 'DBSOURCE', 'LAST_CAREUNIT', 'ADMISSION_TYPE']:\n",
    "    overview_table[col]['General Information'] = f\"There are {overview_table[col]['General Information'].split(': ')[1]} unique {col.lower()} values.\"\n",
    "    overview_table[col]['Most Common Value'] = f\"The most common {col.lower()} is {overview_table[col]['Most Common Value'].split(': ')[1]}.\"\n",
    "    overview_table[col]['Statistics for Most Common Value'] = f\"This value occurs {overview_table[col]['Statistics for Most Common Value'].split(': ')[1]} times.\"\n",
    "\n",
    "print(overview_table)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "40a6a8c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MICU     3106\n",
       "SICU     1064\n",
       "CCU       758\n",
       "TSICU     634\n",
       "CSRU      321\n",
       "Name: LAST_CAREUNIT, dtype: int64"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data[combined_data['MORTALITY']==1]['LAST_CAREUNIT'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "7c28d11b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MICU     20064\n",
       "CSRU      8753\n",
       "SICU      8298\n",
       "CCU       6714\n",
       "TSICU     5697\n",
       "Name: LAST_CAREUNIT, dtype: int64"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data['LAST_CAREUNIT'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "556ed735",
   "metadata": {},
   "source": [
    "## Consistency of Categorical Variables: \n",
    "Check the unique values of your categorical variables. Sometimes, the same category might be represented in different ways. For example, 'Male' and 'male' would be considered two different categories due to the difference in case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ba3d6f64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DBSOURCE ['carevue' 'metavision' 'both']\n",
      "FIRST_CAREUNIT ['MICU' 'CCU' 'TSICU' 'SICU' 'CSRU']\n",
      "LAST_CAREUNIT ['MICU' 'CCU' 'TSICU' 'SICU' 'CSRU']\n",
      "GENDER ['F' 'M']\n",
      "ADMISSION_TYPE ['EMERGENCY' 'ELECTIVE' 'URGENT']\n",
      "ADMISSION_LOCATION ['EMERGENCY ROOM ADMIT' 'PHYS REFERRAL/NORMAL DELI'\n",
      " 'TRANSFER FROM HOSP/EXTRAM' 'CLINIC REFERRAL/PREMATURE'\n",
      " 'TRANSFER FROM OTHER HEALT' 'TRANSFER FROM SKILLED NUR'\n",
      " 'HMO REFERRAL/SICK' '** INFO NOT AVAILABLE **'\n",
      " 'TRSF WITHIN THIS FACILITY']\n",
      "DISCHARGE_LOCATION ['DEAD/EXPIRED' 'HOME HEALTH CARE' 'HOME' 'REHAB/DISTINCT PART HOSP' 'SNF'\n",
      " 'HOSPICE-MEDICAL FACILITY' 'HOSPICE-HOME' 'DISC-TRAN CANCER/CHLDRN H'\n",
      " 'LONG TERM CARE HOSPITAL' 'LEFT AGAINST MEDICAL ADVI'\n",
      " 'SHORT TERM HOSPITAL' 'HOME WITH HOME IV PROVIDR'\n",
      " 'DISC-TRAN TO FEDERAL HC' 'DISCH-TRAN TO PSYCH HOSP' 'ICF'\n",
      " 'OTHER FACILITY' 'SNF-MEDICAID ONLY CERTIF']\n",
      "INSURANCE ['Medicare' 'Medicaid' 'Private' 'Government' 'Self Pay']\n",
      "RELIGION ['CATHOLIC' 'UNOBTAINABLE' \"JEHOVAH'S WITNESS\" 'OTHER' 'PROTESTANT QUAKER'\n",
      " 'NOT SPECIFIED' 'JEWISH' 'UNITARIAN-UNIVERSALIST' 'BUDDHIST'\n",
      " 'EPISCOPALIAN' 'GREEK ORTHODOX' 'CHRISTIAN SCIENTIST' 'METHODIST'\n",
      " 'BAPTIST' 'HINDU' 'HEBREW' '7TH DAY ADVENTIST' 'MUSLIM'\n",
      " 'ROMANIAN EAST. ORTH' 'LUTHERAN']\n",
      "MARITAL_STATUS ['SEPARATED' 'SINGLE' 'MARRIED' 'UNKNOWN' 'WIDOWED' 'DIVORCED'\n",
      " 'UNKNOWN (DEFAULT)' 'LIFE PARTNER']\n",
      "ETHNICITY ['HISPANIC OR LATINO' 'WHITE' 'UNKNOWN/NOT SPECIFIED'\n",
      " 'BLACK/AFRICAN AMERICAN' 'OTHER' 'ASIAN - VIETNAMESE' 'ASIAN'\n",
      " 'PATIENT DECLINED TO ANSWER' 'HISPANIC/LATINO - GUATEMALAN'\n",
      " 'ASIAN - CHINESE' 'ASIAN - ASIAN INDIAN' 'WHITE - RUSSIAN'\n",
      " 'MULTI RACE ETHNICITY' 'HISPANIC/LATINO - PUERTO RICAN'\n",
      " 'AMERICAN INDIAN/ALASKA NATIVE' 'BLACK/AFRICAN'\n",
      " 'HISPANIC/LATINO - SALVADORAN' 'UNABLE TO OBTAIN' 'BLACK/CAPE VERDEAN'\n",
      " 'BLACK/HAITIAN' 'WHITE - OTHER EUROPEAN' 'ASIAN - CAMBODIAN'\n",
      " 'WHITE - EASTERN EUROPEAN' 'ASIAN - FILIPINO' 'PORTUGUESE'\n",
      " 'WHITE - BRAZILIAN' 'HISPANIC/LATINO - COLOMBIAN' 'CARIBBEAN ISLAND'\n",
      " 'SOUTH AMERICAN' 'HISPANIC/LATINO - CENTRAL AMERICAN (OTHER)'\n",
      " 'HISPANIC/LATINO - DOMINICAN' 'ASIAN - THAI'\n",
      " 'NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER' 'MIDDLE EASTERN'\n",
      " 'HISPANIC/LATINO - CUBAN' 'ASIAN - OTHER' 'HISPANIC/LATINO - HONDURAN'\n",
      " 'HISPANIC/LATINO - MEXICAN' 'ASIAN - KOREAN'\n",
      " 'AMERICAN INDIAN/ALASKA NATIVE FEDERALLY RECOGNIZED TRIBE'\n",
      " 'ASIAN - JAPANESE']\n"
     ]
    }
   ],
   "source": [
    "features = []\n",
    "for col in combined_data.select_dtypes(include=['object']).columns:\n",
    "    if len(combined_data[col].unique()) < 50:\n",
    "        print(col, combined_data[col].unique())\n",
    "        features.append(str(col))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "186f947c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ROW_ID                           int64\n",
       "SUBJECT_ID                       int64\n",
       "HADM_ID                          int64\n",
       "ICUSTAY_ID                       int64\n",
       "DBSOURCE                        object\n",
       "FIRST_CAREUNIT                  object\n",
       "LAST_CAREUNIT                   object\n",
       "FIRST_WARDID                     int64\n",
       "LAST_WARDID                      int64\n",
       "INTIME                  datetime64[ns]\n",
       "OUTTIME                         object\n",
       "LOS                            float64\n",
       "GENDER                          object\n",
       "DOB                     datetime64[ns]\n",
       "AGE                              int64\n",
       "MORTALITY                        int32\n",
       "ADMITTIME                       object\n",
       "DISCHTIME               datetime64[ns]\n",
       "ADMISSION_TYPE                  object\n",
       "ADMISSION_LOCATION              object\n",
       "DISCHARGE_LOCATION              object\n",
       "INSURANCE                       object\n",
       "LANGUAGE                        object\n",
       "RELIGION                        object\n",
       "MARITAL_STATUS                  object\n",
       "ETHNICITY                       object\n",
       "DIAGNOSIS                       object\n",
       "HOSPITAL_EXPIRE_FLAG             int64\n",
       "HAS_CHARTEVENTS_DATA             int64\n",
       "ED_VISIT                          bool\n",
       "dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3e5aafb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROW_ID</th>\n",
       "      <th>SUBJECT_ID</th>\n",
       "      <th>HADM_ID</th>\n",
       "      <th>ICUSTAY_ID</th>\n",
       "      <th>DBSOURCE</th>\n",
       "      <th>FIRST_CAREUNIT</th>\n",
       "      <th>LAST_CAREUNIT</th>\n",
       "      <th>FIRST_WARDID</th>\n",
       "      <th>LAST_WARDID</th>\n",
       "      <th>INTIME</th>\n",
       "      <th>...</th>\n",
       "      <th>DISCHARGE_LOCATION</th>\n",
       "      <th>INSURANCE</th>\n",
       "      <th>LANGUAGE</th>\n",
       "      <th>RELIGION</th>\n",
       "      <th>MARITAL_STATUS</th>\n",
       "      <th>ETHNICITY</th>\n",
       "      <th>DIAGNOSIS</th>\n",
       "      <th>HOSPITAL_EXPIRE_FLAG</th>\n",
       "      <th>HAS_CHARTEVENTS_DATA</th>\n",
       "      <th>ED_VISIT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>365</td>\n",
       "      <td>268</td>\n",
       "      <td>110404</td>\n",
       "      <td>280836</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>MICU</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>2198-02-14 23:27:38</td>\n",
       "      <td>...</td>\n",
       "      <td>DEAD/EXPIRED</td>\n",
       "      <td>Medicare</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>CATHOLIC</td>\n",
       "      <td>SEPARATED</td>\n",
       "      <td>HISPANIC OR LATINO</td>\n",
       "      <td>DYSPNEA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>366</td>\n",
       "      <td>269</td>\n",
       "      <td>106296</td>\n",
       "      <td>206613</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>MICU</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>2170-11-05 11:05:29</td>\n",
       "      <td>...</td>\n",
       "      <td>HOME HEALTH CARE</td>\n",
       "      <td>Medicaid</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>UNOBTAINABLE</td>\n",
       "      <td>SINGLE</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>SEPSIS;PILONIDAL ABSCESS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>367</td>\n",
       "      <td>270</td>\n",
       "      <td>188028</td>\n",
       "      <td>220345</td>\n",
       "      <td>carevue</td>\n",
       "      <td>CCU</td>\n",
       "      <td>CCU</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>2128-06-24 15:05:20</td>\n",
       "      <td>...</td>\n",
       "      <td>HOME HEALTH CARE</td>\n",
       "      <td>Medicare</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>JEHOVAH'S WITNESS</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>UNKNOWN/NOT SPECIFIED</td>\n",
       "      <td>CAROTID STENOSIS\\CAROTID ANGIOGRAM AND STENT</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>369</td>\n",
       "      <td>272</td>\n",
       "      <td>164716</td>\n",
       "      <td>210407</td>\n",
       "      <td>carevue</td>\n",
       "      <td>CCU</td>\n",
       "      <td>CCU</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>2186-12-25 21:08:04</td>\n",
       "      <td>...</td>\n",
       "      <td>HOME</td>\n",
       "      <td>Medicare</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>UNOBTAINABLE</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>PULMONARY EMBOLIS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>370</td>\n",
       "      <td>273</td>\n",
       "      <td>158689</td>\n",
       "      <td>241507</td>\n",
       "      <td>carevue</td>\n",
       "      <td>MICU</td>\n",
       "      <td>MICU</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>2141-04-19 06:12:05</td>\n",
       "      <td>...</td>\n",
       "      <td>HOME</td>\n",
       "      <td>Private</td>\n",
       "      <td>ENGL</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>MARRIED</td>\n",
       "      <td>BLACK/AFRICAN AMERICAN</td>\n",
       "      <td>POLYSUBSTANCE OVERDOSE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ROW_ID  SUBJECT_ID  HADM_ID  ICUSTAY_ID DBSOURCE FIRST_CAREUNIT  \\\n",
       "0     365         268   110404      280836  carevue           MICU   \n",
       "1     366         269   106296      206613  carevue           MICU   \n",
       "2     367         270   188028      220345  carevue            CCU   \n",
       "3     369         272   164716      210407  carevue            CCU   \n",
       "4     370         273   158689      241507  carevue           MICU   \n",
       "\n",
       "  LAST_CAREUNIT  FIRST_WARDID  LAST_WARDID              INTIME  ...  \\\n",
       "0          MICU            52           52 2198-02-14 23:27:38  ...   \n",
       "1          MICU            52           52 2170-11-05 11:05:29  ...   \n",
       "2           CCU            57           57 2128-06-24 15:05:20  ...   \n",
       "3           CCU            57           57 2186-12-25 21:08:04  ...   \n",
       "4          MICU            52           52 2141-04-19 06:12:05  ...   \n",
       "\n",
       "  DISCHARGE_LOCATION  INSURANCE LANGUAGE           RELIGION  MARITAL_STATUS  \\\n",
       "0       DEAD/EXPIRED   Medicare  UNKNOWN           CATHOLIC       SEPARATED   \n",
       "1   HOME HEALTH CARE   Medicaid  UNKNOWN       UNOBTAINABLE          SINGLE   \n",
       "2   HOME HEALTH CARE   Medicare  UNKNOWN  JEHOVAH'S WITNESS         MARRIED   \n",
       "3               HOME   Medicare  UNKNOWN       UNOBTAINABLE         MARRIED   \n",
       "4               HOME    Private     ENGL              OTHER         MARRIED   \n",
       "\n",
       "                ETHNICITY                                     DIAGNOSIS  \\\n",
       "0      HISPANIC OR LATINO                                       DYSPNEA   \n",
       "1                   WHITE                      SEPSIS;PILONIDAL ABSCESS   \n",
       "2   UNKNOWN/NOT SPECIFIED  CAROTID STENOSIS\\CAROTID ANGIOGRAM AND STENT   \n",
       "3                   WHITE                             PULMONARY EMBOLIS   \n",
       "4  BLACK/AFRICAN AMERICAN                        POLYSUBSTANCE OVERDOSE   \n",
       "\n",
       "  HOSPITAL_EXPIRE_FLAG HAS_CHARTEVENTS_DATA ED_VISIT  \n",
       "0                    1                    1     True  \n",
       "1                    0                    1     True  \n",
       "2                    0                    1    False  \n",
       "3                    0                    1    False  \n",
       "4                    0                    1     True  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a053529d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49526, 30)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "83d51d87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MORTALITY', ylabel='count'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'MORTALITY', data = combined_data, palette = 'Set3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "42103a05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    43643\n",
       "1     5883\n",
       "Name: MORTALITY, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data['MORTALITY'].value_counts()\n",
    "# The moratlity column is imballenced "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "58418109",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DBSOURCE',\n",
       " 'FIRST_CAREUNIT',\n",
       " 'LAST_CAREUNIT',\n",
       " 'GENDER',\n",
       " 'ADMISSION_TYPE',\n",
       " 'ADMISSION_LOCATION',\n",
       " 'DISCHARGE_LOCATION',\n",
       " 'INSURANCE',\n",
       " 'RELIGION',\n",
       " 'MARITAL_STATUS',\n",
       " 'ETHNICITY']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0307acb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='ADMISSION_TYPE', data = combined_data, palette = 'Set3', hue = 'MORTALITY')\n",
    "plt.xticks(rotation = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6c2cd8f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='INSURANCE', data = combined_data, palette = 'Set3', hue = 'MORTALITY')\n",
    "plt.xticks(rotation = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e3b451f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_gender(df):\n",
    "    # Define a mapping from gender categories to integers\n",
    "    gender_map = {'F': 1, 'M': 2, 'OTHER': 3, '': 0}\n",
    "    # Apply the mapping to the 'GENDER' column\n",
    "    df['GENDER'] = df['GENDER'].map(gender_map).fillna(0).astype(int)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "13a68f4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "transform_gender(combined_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "798e7d0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        1\n",
       "1        2\n",
       "2        2\n",
       "3        2\n",
       "4        2\n",
       "        ..\n",
       "49522    2\n",
       "49523    1\n",
       "49524    1\n",
       "49525    1\n",
       "49526    2\n",
       "Name: GENDER, Length: 49526, dtype: int32"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data['GENDER']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2f97592b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROW_ID</th>\n",
       "      <th>SUBJECT_ID</th>\n",
       "      <th>HADM_ID</th>\n",
       "      <th>SEQ_NUM</th>\n",
       "      <th>ICD9_CODE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1297</td>\n",
       "      <td>109</td>\n",
       "      <td>172335</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1298</td>\n",
       "      <td>109</td>\n",
       "      <td>172335</td>\n",
       "      <td>2.0</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1299</td>\n",
       "      <td>109</td>\n",
       "      <td>172335</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1300</td>\n",
       "      <td>109</td>\n",
       "      <td>172335</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1301</td>\n",
       "      <td>109</td>\n",
       "      <td>172335</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651042</th>\n",
       "      <td>639798</td>\n",
       "      <td>97503</td>\n",
       "      <td>188195</td>\n",
       "      <td>2.0</td>\n",
       "      <td>20280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651043</th>\n",
       "      <td>639799</td>\n",
       "      <td>97503</td>\n",
       "      <td>188195</td>\n",
       "      <td>3.0</td>\n",
       "      <td>V5869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651044</th>\n",
       "      <td>639800</td>\n",
       "      <td>97503</td>\n",
       "      <td>188195</td>\n",
       "      <td>4.0</td>\n",
       "      <td>V1279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651045</th>\n",
       "      <td>639801</td>\n",
       "      <td>97503</td>\n",
       "      <td>188195</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651046</th>\n",
       "      <td>639802</td>\n",
       "      <td>97503</td>\n",
       "      <td>188195</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5569</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>651047 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ROW_ID  SUBJECT_ID  HADM_ID  SEQ_NUM ICD9_CODE\n",
       "0         1297         109   172335      1.0     40301\n",
       "1         1298         109   172335      2.0       486\n",
       "2         1299         109   172335      3.0     58281\n",
       "3         1300         109   172335      4.0      5855\n",
       "4         1301         109   172335      5.0      4254\n",
       "...        ...         ...      ...      ...       ...\n",
       "651042  639798       97503   188195      2.0     20280\n",
       "651043  639799       97503   188195      3.0     V5869\n",
       "651044  639800       97503   188195      4.0     V1279\n",
       "651045  639801       97503   188195      5.0      5275\n",
       "651046  639802       97503   188195      6.0      5569\n",
       "\n",
       "[651047 rows x 5 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diagnosis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8dd6e84e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE',\n",
       "       'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID',\n",
       "       'INTIME', 'OUTTIME', 'LOS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "icustays.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0837b1e9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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