MLD3: Machine Learning for Data-Driven Decisions, University of Michigan

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41 repositories

SAMultipleNoisyLabels
Public
Survival Analysis with Multiple Noisy Labels
Python
•0•0•0•0•Updated Nov 14, 2024Nov 14, 2024
gaming_detection
Public
[NeurIPS 2024] Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
Jupyter Notebook
•0•0•0•0•Updated Oct 4, 2024Oct 4, 2024
DCEM
Public
[ICML 2024] From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Python
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MIT License
•0•2•1•0•Updated Sep 13, 2024Sep 13, 2024
DEPICT
Public
MIT License
•0•1•0•0•Updated Sep 5, 2024Sep 5, 2024
mld3.github.io
Public
Lab website
JavaScript
•0•0•0•0•Updated Aug 2, 2024Aug 2, 2024
PROP-RL
Public
Optimizing Loop Diuretic Treatment in Hospitalized Patients: A Case Study in Practical Application of Offline Reinforcement Learning to Healthcare
Python
•0•1•0•0•Updated Jul 2, 2024Jul 2, 2024
FIDDLE
Public
FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139
data-science machine-learning preprocessing electronic-health-records jamia
Jupyter Notebook
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MIT License
•19•89•6•0•Updated Jun 12, 2024Jun 12, 2024
MILwAPI
Public
Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"
Jupyter Notebook
•0•1•0•0•Updated Apr 26, 2024Apr 26, 2024
Learning-to-Rank-for-Optimal-Treatment-Allocation-Under-Resource-Constraints
Public
Python
•0•0•0•0•Updated Feb 20, 2024Feb 20, 2024
CounterfactualAnnot-SemiOPE
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[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
off-policy-evaluation offline-reinforcement-learning counterfactual-reasoning neurips-2023
Jupyter Notebook
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MIT License
•1•1•0•0•Updated Nov 2, 2023Nov 2, 2023
ConceptCredibleModel
Public
Jupyter Notebook
•0•0•0•0•Updated Aug 7, 2023Aug 7, 2023
Instance_Dependent_Label_Noise
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Code for "Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise" in CHIL 2023
Python
•0•0•0•0•Updated Jul 10, 2023Jul 10, 2023
Hierarchical_Survival_Analysis
Public
Python
•1•3•0•0•Updated Jul 10, 2023Jul 10, 2023
denoising-autoencoders-for-learning-from-noisy-patient-reported-data
Public
Python
•1•0•0•0•Updated Apr 13, 2023Apr 13, 2023
sparse-informative-variables
Public
Python
•0•2•0•0•Updated Jan 3, 2023Jan 3, 2023
disparate_censorship
Public
Jupyter Notebook
•0•1•0•0•Updated Jan 3, 2023Jan 3, 2023
OfflineRL_FactoredActions
Public
[NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare.
healthcare neurips-2022 reinforcement-learning
Jupyter Notebook
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MIT License
•0•9•0•0•Updated Nov 27, 2022Nov 27, 2022
Calibrated-Survival-Analysis
Public
Code Release for "Estimating Calibrated Individualized Survival Curves with Deep Learning" (Kamran & Wiens), AAAI 2021. https://www.aaai.org/AAAI21Papers/AAAI-8472.KamranF.pdf
survival-analysis
Python
•0•4•0•0•Updated Nov 17, 2022Nov 17, 2022
OfflineRL_ModelSelection
Public
[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003
model-selection healthcare-application offline-rl mlhc-2021 reinforcement-learning
Jupyter Notebook
•5•8•0•0•Updated Oct 6, 2022Oct 6, 2022
Deep-Learning-Applied-to-Chest-X-rays-Exploiting-and-Preventing-Shortcuts
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[MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132
algorithmic-bias chest-x-ray mlhc-2020 deep-learning
Jupyter Notebook
•2•8•0•0•Updated Oct 4, 2022Oct 4, 2022
FIDDLE-experiments
Public
Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
Jupyter Notebook
•7•25•1•0•Updated Jul 12, 2022Jul 12, 2022
AMAISE
Public
The source code for AMAISE: A Machine Learning Approach to Index-Free Sequence Enrichment and the accession codes for the data used to train and test AMAISE.
Python
•2•1•0•0•Updated Jun 8, 2022Jun 8, 2022
M-CURES
Public
"Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study" (Kamran, Tang, et al.), BMJ 2022.
Python
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MIT License
•2•10•0•0•Updated Apr 19, 2022Apr 19, 2022
credible_learning
Public
[KDD 2018] Learning Credible Models
Python
•1•0•0•0•Updated Feb 16, 2022Feb 16, 2022
AD_from_BP
Public
Predicting Alzheimer's disease onset using blood pressure trajectories
Python
•0•0•0•0•Updated Jan 26, 2022Jan 26, 2022
Combining-chest-X-rays-and-EHR-data-ARF
Public
Python
•1•3•0•0•Updated Sep 20, 2021Sep 20, 2021
ADTRCI_AD_from_EHR
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Code for the paper "Cohort discovery and risk stratification for AD: an EHR-based approach" in Alzheimer's and Dementia: TRCI
Python
•0•0•0•0•Updated Jun 9, 2021Jun 9, 2021
JCO_CCI_aGVHD_prediction
Public
Predicting Acute Graft-versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data from Electronic Health Records (Tang et al.), JCO Clinical Cancer Informatics 2020. https://doi.org/10.1200/CCI.19.00105
electronic-health-records acute-graft-vs-host-disease machine-learning jco-cci vital-sign-data
Jupyter Notebook
•0•3•0•0•Updated May 7, 2021May 7, 2021
AJS_Opioids_Use_Prediction
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Predicting Postoperative Opioid Use with Machine Learning and Insurance Claims in Opioid-Naïve Patients (Hur, Tang, ..., Waljee, Wiens). The American Journal of Surgery, 2021. https://doi.org/10.1016/j.amjsurg.2021.03.058
machine-learning insurance-claims opioids
Jupyter Notebook
•0•0•0•0•Updated May 7, 2021May 7, 2021
ARDS_PLOS_ONE_2019
Public
Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome (Zeiberg & Prahlad et al.), PLOS ONE, March 2019. https://doi.org/10.1371/journal.pone.0214465
ards risk-stratification machine-learning
Python
•2•5•0•0•Updated Feb 12, 2021Feb 12, 2021