clinicalml Goto Github PK

active_learn_to_defer

Code for Sample Efficient Learning of Predictors that Complement Humans (ICML 2022)

amr-uti-kdd

Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes (KDD 2020)

amr-uti-stm

Code for "A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection"

anchorexplorer

cfrnet

Counterfactual Regression

ckd_progression

clinical-anchors

clinicalml-scbert-nmi

analysis code to reproduce results in NMI submission

co-llm

commondatamodel

Definition and DDLs for the OMOP Common Data Model (CDM)

contextualautocomplete_mlhc2020

Code for Contextual Autocomplete paper published in MLHC2020

continuoustimemarkovmodel

Continuous-time Markov model with discrete observations

cotrain-prompting

Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance

deepdiagnosis

A torch package for learning diagnosis models from temporal patient data.

dgc_predict

Applies and evaluates a variety of methods to complete a partially-observed data tensor, e.g. comprising gene expression profiles corresponding to various drugs, applied in various cellular contexts.

dgm

Deep Generative Model (Torch)

dmm

Deep Markov Models

eicu-code

Code shared by the research community for the eICU Collaborative Research Database

embeddings

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

finding-decision-heterogeneity-regions

Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021

fully-observed-policy-learning

Code for "Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes" (KDD 2020)

fw-inference

Barrier Frank-Wolfe for Marginal Inference

gumbel-max-scm

Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

healthknowledgegraph

Health knowledge graph for 157 diseases and 491 symptoms, learned from >270,000 patients' data

human_ai_deferral

Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23

ief

Train pharmacodynamic deep generative models to model disease progression

large-scale-temporal-shift-study

Code for Large-Scale Study of Temporal Shift in Health Insurance Claims. Christina X Ji, Ahmed M Alaa, David Sontag. CHIL, 2023. https://arxiv.org/abs/2305.05087

learn-to-defer

Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)

mimic-language-model

A conditional language model for MIMIC-III.

mimicnotes

Concept extraction from MIMIC3 notes