femr
importedsoftware/femr
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- som-shahlab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/som-shahlab/femr
- Documentation
- unknown
- Tags
- electronic-health-records · foundation-models · healthcare · self-supervised-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.
- hf_ehrelectronic-health-records · foundation-models · healthcare
Training HuggingFace models on EHR data
- papagei-foundation-modelfoundation-models · healthcare · self-supervised-learning
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
- medalignelectronic-health-records · foundation-models · healthcare
MedAlign is a clinician-generated dataset for instruction following with electronic medical records.
- Hi-End-MAEfoundation-models · self-supervised-learning
[MedIA 2026] Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
- Large-Scale-Medicalfoundation-models · self-supervised-learning
[TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
- Patient2Vecelectronic-health-records · healthcare
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
- api.github.com/repos/som-shahlab/femrretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-13, 181 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/11.json→ .entries["femr"]
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