hf_ehr
importedsoftware/hf-ehr
Training HuggingFace models on EHR data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- som-shahlab
- Country
- unknown
- Homepage
- arxiv.org/abs/2412.16178
- Repository
- github.com/som-shahlab/hf_ehr
- Documentation
- unknown
- Tags
- electronic-health-records · foundation-models · healthcare · machine-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- femrelectronic-health-records · foundation-models · healthcare
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
- medalignelectronic-health-records · foundation-models · healthcare
MedAlign is a clinician-generated dataset for instruction following with electronic medical records.
- Patient2Vecelectronic-health-records · healthcare
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
- ecg-fmfoundation-models · healthcare
An electrocardiogram analysis foundation model.
- odysseyfoundation-models · healthcare
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
- papagei-foundation-modelfoundation-models · healthcare
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
- api.github.com/repos/som-shahlab/hf_ehrretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-11-02, 52 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/7.json→ .entries["hf-ehr"]
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