som-shahlab/hf_ehr
Training HuggingFace models on EHR data
This project helps medical researchers and data scientists train powerful language models using complex patient data. You input electronic health record (EHR) data, formatted using standards like MEDS or FEMR, and it outputs pre-trained models ready for specific healthcare applications. It's designed for professionals working with large-scale clinical datasets to build predictive or analytical tools.
Use this if you need to train Hugging Face models on structured electronic health record (EHR) data to create advanced healthcare AI applications.
Not ideal if you are not working with large, structured EHR datasets or if you do not have familiarity with machine learning model training workflows.
Stars
43
Forks
11
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/som-shahlab/hf_ehr"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
re-search/DocProduct
Medical Q&A with Deep Language Models
edaaydinea/AI-Projects-for-Healthcare
This repository is included artificial intelligence, machine learning, data science, computer...
mercure-imaging/mercure
mercure DICOM Orchestrator
HealthCatalyst/healthcareai-py
Python tools for healthcare machine learning