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

Clinical Information and Decision Making (1407) Registered Report (561) Machine Learning (1465) Artificial Intelligence (1371)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24153, first published .
Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis

Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis

Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis

Authors of this article:

Gang Luo1 Author Orcid Image ;   Claudia L Nau2 Author Orcid Image ;   William W Crawford3 Author Orcid Image ;   Michael Schatz2, 4 Author Orcid Image ;   Robert S Zeiger2, 4 Author Orcid Image ;   Corinna Koebnick2 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Gang Luo   1 , DPhil ;   Claudia L Nau   2 , DPhil ;   William W Crawford   3 , MD ;   Michael Schatz   2, 4 , MD, MS ;   Robert S Zeiger   2, 4 , MD, DPhil ;   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,
  • Box 358047, Building C
  • Seattle, WA, 98195
  • United States
  • Phone: 1 2062214596
  • Fax: 1 206-221-2671
  • Email: gangluo@cs.wisc.edu