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MedAlign is a clinician-generated dataset for instruction following with electronic medical records.
94 9
A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)
Jupyter Notebook 162 18
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
Python 137 23
Weakly supervised medical named entity classification
Python 73 21
C++ 18
INSPECT dataset/benchmark paper, accepted by NeurIPS 2023
s1: Simple test-time scaling
APLUS ML = A Python Library for Usefulness Simulations of Machine Learning models
Public website for EHRSHOT
Taking off-the-shelf HuggingFace models and training them on EHR data
Zero-shot clinical trial matching with LLMs
Tutorial repository for the official MOTOR release
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