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

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1. M-CURESM-CURESPublic

   "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 11 2

2. AMAISEAMAISEPublic

   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 3

3. FIDDLEFIDDLEPublic

   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

   Jupyter Notebook 100 19

4. Deep-Learning-Applied-to-Chest-X-rays-Exploiting-and-Preventing-ShortcutsDeep-Learning-Applied-to-Chest-X-rays-Exploiting-and-Preventing-ShortcutsPublic

   [MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132

   Jupyter Notebook 8 2

5. OfflineRL_FactoredActionsOfflineRL_FactoredActionsPublic

   [NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare. https://arxiv.org/abs/2305.01738

   Jupyter Notebook 11

6. CounterfactualAnnot-SemiOPECounterfactualAnnot-SemiOPEPublic

   [NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146

   Jupyter Notebook 1 3