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

Non-randomized Protocols and Methods (ehealth) (568) Pulmonology, COPD (143) Respiratory Medicine (83) Decision Support for Health Professionals (1191) Machine Learning (1471)

Published on in Vol 10, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27065, first published .
Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis

Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis

Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis

Authors of this article:

Gang Luo1 Author Orcid Image ;   Bryan L Stone2 Author Orcid Image ;   Xiaoming Sheng3 Author Orcid Image ;   Shan He4 Author Orcid Image ;   Corinna Koebnick5 Author Orcid Image ;   Flory L Nkoy2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Gang Luo   1 , DPhil ;   Bryan L Stone   2 , MD, MS ;   Xiaoming Sheng   3 , DPhil ;   Shan He   4 , DPhil ;   Corinna Koebnick   5 , DPhil ;   Flory L Nkoy   2 , MPH, MD, MS

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

2 Department of Pediatrics, University of Utah, Salt Lake City, UT, United States

3 College of Nursing, University of Utah, Salt Lake City, UT, United States

4 Care Transformation and Information Systems, Intermountain Healthcare, West Valley City, UT, United States

5 Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, 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