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This paper is in the following e-collection/theme issue:

Natural Language Processing (952) Information Retrieval (363) Electronic Health Records (1376) Generative Language Models Including ChatGPT (805) AI Language Models in Health Care (245) Machine Learning (2225) Artificial Intelligence (2341)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77409, first published .
A Sentence Classification–Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study

A Sentence Classification–Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study

A Sentence Classification–Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study

Authors of this article:

Chuanming Dong1 Author Orcid Image ;   Boris Delange1 Author Orcid Image ;   Alex Poiron1 Author Orcid Image ;   Mohamed El Azzouzi1 Author Orcid Image ;   Clément François2 Author Orcid Image ;   Guillaume Bouzillé1 Author Orcid Image ;   Marc Cuggia1 Author Orcid Image ;   Sandie Cabon1 Author Orcid Image
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Chuanming Dong   1 , PhD ;   Boris Delange   1 , MD ;   Alex Poiron   1 , MSc ;   Mohamed El Azzouzi   1 , PhD ;   Clément François   2 , MSc ;   Guillaume Bouzillé   1 , MD, PhD ;   Marc Cuggia   1 , PhD, MD ;   Sandie Cabon   1 , PhD

1 Univ Rennes, CHU Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France, Rennes, France

2 Kereval (France), Rennes, France

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