Patient2Vec
importedsoftware/patient2vec
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- BarnesLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/BarnesLab/Patient2Vec
- Documentation
- unknown
- Tags
- attention-mechanism · deep-feature-extraction · deep-learning · ehr · electronic-health-records · gated-recurrent-unit · healthcare · hospitalization
- 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.
- COVID-19-Hospitalisierungen_in_Deutschlandhospitalization
Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den…
- ehr-codesetsehr · electronic-health-records · healthcare
Code sets for Electronic Health Record research
- medalignehr · electronic-health-records · healthcare
MedAlign is a clinician-generated dataset for instruction following with electronic medical records.
- scanrayehr · electronic-health-records · healthcare
Scanner event monitor for web-based scanning of PDF417 barcodes in healthcare setting
- ukbb-ehr-dataehr · electronic-health-records · healthcare
Prepare UK Biobank Electronic Health Record data for research
- GNN_for_EHRehr · electronic-health-records
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
- api.github.com/repos/BarnesLab/Patient2Vecretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-11-27, 107 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/62.json→ .entries["patient2vec"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.