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

Heart Valve Disease Research (4) Clinical Informatics (1050) Natural Language Processing (706) Electronic Health Records (1068) Computer-Aided Diagnosis (135) Cardiac Diagnostics (15)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60503, first published .
Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach

Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach

Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach

Authors of this article:

Fagen Xie1 Author Orcid Image ;   Ming-sum Lee2 Author Orcid Image ;   Salam Allahwerdy3 Author Orcid Image ;   Darios Getahun1 Author Orcid Image ;   Benjamin Wessler4 Author Orcid Image ;   Wansu Chen1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Fagen Xie   1 , PhD ;   Ming-sum Lee   2 , MD, PhD ;   Salam Allahwerdy   3 , BS ;   Darios Getahun   1 , MD, MPH, PhD ;   Benjamin Wessler   4 , MD ;   Wansu Chen   1 , PhD

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

2 Department of Cardiology, Los Angeles Medical Center, Kaiser Permanente Southern California, Pasadena, CA, United States

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

4 Division of Cardiology, Tufts Medical Center, Boston, MA, United States

Corresponding Author:

  • Fagen Xie, PhD
  • Department of Research and Evaluation
  • Kaiser Permanente Southern California
  • 100 S Los Robles Ave, 2nd Floor
  • Pasadena, CA, 91101
  • United States
  • Phone: 1 6265643294
  • Email: fagen.xie@kp.org