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

Fagen Xie   1 , PhD ;   Robert S Zeiger   2, 3 , MD, PhD ;   Mary Marycania Saparudin   1 , MPH ;   Sahar Al-Salman   1 , MPH ;   Eric Puttock   1 , PhD ;   William Crawford   4 , MD ;   Michael Schatz   2, 3 , MD ;   Stanley Xu   1 , PhD ;   William M Vollmer   5 , PhD ;   Wansu Chen   1 , PhD

1 Department of Research and Evaluation, Kaiser Permanente South California, Pasadena, CA, United States

2 Department of Allergy, Kaiser Permanente South California, San Diego, CA, United States

3 Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States

4 Department of Allergy, Kaiser Permanente South California, Harbor City, CA, United States

5 Kaiser Permanente Center for Health Research, Portland, OR, United States

Corresponding Author:

  • Fagen Xie, PhD
  • Department of Research and Evaluation
  • Kaiser Permanente South California
  • 100 S Los Robles Ave, 2nd Floor
  • Pasadena, CA 91101
  • United States
  • Phone: 1 626-564-3294
  • Email: fagen.xie@kp.org