DII-Challenge-2019

The early identification of sepsis cases.

build the env

	pip install -r requirement.txt

data preprocessing

• creat result folder for data preprocessing results

  mkdir result
  mkdir data
  mkdir data/models
  

• generate json files

  cd preprocessing
  python gen_master_feature.py --master-file ../file/master.csv
  python gen_feature_time.py --vital-file ../file/vital.csv				# only for task1
  python gen_vital_feature.py --vital-file ../file/vital.csv
  python gen_label_feature.py --label-file ../file/label.csv
  

train and validate the model, the best model will saved in ../data/models/

	python main.py --task case1		# for task1 case1
	python main.py --task task1		# for task1 case2
	python main.py --task task2		# for task2

You can also run the code by:

	python run.py --label-file ../file/label.csv --vital-file ../file/vital.csv --master-file  ../master.csv --task case1