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

Foundations of AI (57) Natural Language Processing (869) Applications of AI (246) Machine Learning (1971) Clinical Information and Decision Making (1807) Respiratory Medicine (142)

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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