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

Foundations of AI (56) Natural Language Processing (855) Applications of AI (229) Machine Learning (1927) Clinical Information and Decision Making (1785) Respiratory Medicine (138)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69132, first published .
Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Authors of this article:

Fagen Xie1 Author Orcid Image ;   Robert S Zeiger2, 3 Author Orcid Image ;   Mary Marycania Saparudin1 Author Orcid Image ;   Sahar Al-Salman1 Author Orcid Image ;   Eric Puttock1 Author Orcid Image ;   William Crawford4 Author Orcid Image ;   Michael Schatz2, 3 Author Orcid Image ;   Stanley Xu1 Author Orcid Image ;   William M Vollmer5 Author Orcid Image ;   Wansu Chen1 Author Orcid Image
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