ranasl62/ehr-risk-framework

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

Electronic Health Record Analysis with Python.

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

Machine learning and decision intelligence models designed to improve healthcare safety through clinical risk prediction and medical interaction analysis.

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

[npj Digital Medicine 2026] HealthFlow: Automating electronic health record analysis via a strategically self-evolving multi-agent framework

An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)