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Machine Learning (1121) Clinical Information and Decision Making (1040) Registered Report (416) Decision Support for Health Professionals (853)

Published on in Vol 8 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22689, first published .
Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis

Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis

Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis

Authors of this article:

Gang Luo 1 Author Orcid Image ;   Claudia L Nau 2 Author Orcid Image ;   William W Crawford 3 Author Orcid Image ;   Michael Schatz 2, 4 Author Orcid Image ;   Robert S Zeiger 2, 4 Author Orcid Image ;   Emily Rozema 2 Author Orcid Image ;   Corinna Koebnick 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Gang Luo   1 , DPhil ;   Claudia L Nau   2 , DPhil ;   William W Crawford   3 , MD ;   Michael Schatz   2, 4 , MSc, MD ;   Robert S Zeiger   2, 4 , MD, DPhil ;   Emily Rozema   2 , MPH ;   Corinna Koebnick   2 , DPhil

1 Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States

2 Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States

3 Department of Allergy and Immunology, Kaiser Permanente South Bay Medical Center, Harbor City, CA, United States

4 Department of Allergy, Kaiser Permanente Southern California, San Diego, CA, United States

Corresponding Author:

  • Gang Luo, DPhil
  • Department of Biomedical Informatics and Medical Education
  • University of Washington
  • UW Medicine South Lake Union, 850 Republican Street
  • Building C, Box 358047
  • Seattle, WA, 98195
  • United States
  • Phone: 1 206 221 4596
  • Fax: 1 206 221 2671
  • Email: gangluo@cs.wisc.edu