aphp/edsnlp

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

66
/ 100
Established

This tool helps medical researchers and healthcare professionals automatically extract specific information from unstructured French clinical notes. It takes in text from patient records and outputs structured data, like identifying mentions of diseases (e.g., COVID-19) and whether they are negated. Healthcare analysts, clinical researchers, and data scientists working with French medical text would find this useful.

156 stars. Available on PyPI.

Use this if you need to quickly and accurately pull out key medical facts, like conditions or treatments, from large volumes of French clinical notes.

Not ideal if your primary goal is general natural language processing for languages other than French, or if you only work with highly structured medical data.

clinical-note-analysis medical-information-extraction healthcare-data-mining French-medical-text patient-record-processing
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 21 / 25

How are scores calculated?

Stars

156

Forks

40

Language

Python

License

BSD-3-Clause

Last pushed

Mar 05, 2026

Commits (30d)

0

Dependencies

17

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/aphp/edsnlp"

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