kevihiiin/EHR-Indication-Processing
Code for the paper: Transformers and large language models are efficient feature extractors for electronic health record studies
24
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
13 / 25
Adoption
3 / 25
Maturity
8 / 25
Community
0 / 25
Stars
4
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/kevihiiin/EHR-Indication-Processing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.