mlforhealth Goto Github PK

causalda

Causal data augmentation for pretraining debiasing

clinicaldg

An Empirical Framework for Domain Generalization In Clinical Settings

confounder-acquisition

Confounding Feature Acquisition for Causal Effect Estimation

cxr_fairness

Improving the Fairness of Chest X-ray Classifiers

distded

Identifying Medical Dead-ends with Distributional RL

expl_perf_drop

Attributing model performance changes to distribution shifts in causal mechanisms.

explanationssubpopulations

Measuring the fairness of post-hoc explanations

hurtfulwords

Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

mimic_generalisation

Code to study the generalisability of benchmark models on non-stationary EHRs.

mmd-wae-with-hsic

orchid

Organ Retrieval and Collection of Health Information for Donation (ORCHID) Dataset.

predictive_checklists

Creating predictive checklists from data using integer programming.

rl_representations

Learning representations for RL in Healthcare under a POMDP assumption

s2sd

(ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv.org/abs/2009.08348

tienetreproduction