Published on in Vol 8, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13783, first published .
Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis

Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis

Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis

Gang Luo   1 , DPhil ;   Bryan L Stone   2 , MD, MS ;   Corinna Koebnick   3 , DPhil ;   Shan He   4 , DPhil ;   David H Au   5, 6 , MD, MS ;   Xiaoming Sheng   7 , DPhil ;   Maureen A Murtaugh   8 , DPhil, RDN ;   Katherine A Sward   7 , DPhil, RN ;   Michael Schatz   3, 9 , MD, MS ;   Robert S Zeiger   3, 9 , MD, DPhil ;   Giana H Davidson   10 , MD, MPH ;   Flory L Nkoy   2 , MD, MS, MPH

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

4 Care Transformation, Intermountain Healthcare, Salt Lake City, UT, United States

5 Center of Innovation for Veteran-Centered & Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, United States

6 Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington, Seattle, WA, United States

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

8 Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States

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

10 Department of Surgery, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Gang Luo, DPhil
  • Department of Biomedical Informatics and Medical Education
  • University of Washington
  • Seattle, WA
  • United States
  • Phone: 1 2062214596
  • Email: gangluo@cs.wisc.edu