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, US

2 Department of Pediatrics, University of Utah , Salt Lake City, UT, US

3 Department of Research & Evaluation, Kaiser Permanente Southern California , Pasadena, CA, US

4 Care Transformation, Intermountain Healthcare , Salt Lake City, UT, US

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

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

7 College of Nursing, University of Utah , Salt Lake City, UT, US

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

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

10 Department of Surgery, University of Washington , Seattle, WA, US

Corresponding Author:

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