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

Public (e)Health, Digital Epidemiology and Public Health Informatics (2299) Clinical Information and Decision Making (3700) mHealth for Data Collection and Research (1726) mHealth in a Clinical Setting (1145) Electronic Health Records (1726) Ontologies, Classifications, and Coding (440) Infectious Diseases (non-STD/STI) (1931) Artificial Intelligence (4765)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98580, first published .
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The Performance of Large Language Models in Extracting Intestinal Symptoms From Electronic Health Records: Retrospective Observational Study

The Performance of Large Language Models in Extracting Intestinal Symptoms From Electronic Health Records: Retrospective Observational Study

Authors of this article:

Xinyue Zhang1, 2 Author Orcid Image ;   Quanyu Wang2 Author Orcid Image ;   Beibei Liu2 Author Orcid Image ;   Xinyi Sang2 Author Orcid Image ;   Sheng Wei1 Author Orcid Image
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