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

Peer-to-Peer Support and Online Communities (636) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Mobile Health (mhealth) (2941) Web-based and Mobile Health Interventions (3299) Machine Learning (1465)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45589, first published .
Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum

Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum

Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum

Authors of this article:

Ellie Fan Yang1 Author Orcid Image ;   Rachel Kornfield2 Author Orcid Image ;   Yan Liu3 Author Orcid Image ;   Ming-Yuan Chih4 Author Orcid Image ;   Prathusha Sarma5 Author Orcid Image ;   David Gustafson6 Author Orcid Image ;   John Curtin6 Author Orcid Image ;   Dhavan Shah6 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Ellie Fan Yang   1 * , PhD ;   Rachel Kornfield   2 * , PhD ;   Yan Liu   3 , PhD ;   Ming-Yuan Chih   4 , PhD ;   Prathusha Sarma   5 , PhD ;   David Gustafson   6 , PhD ;   John Curtin   6 , PhD ;   Dhavan Shah   6 , PhD

1 School of Communication and Mass Media, Northwest Missouri State University, Maryville, MO, United States

2 Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

3 School of Journalism and Communication, Shanghai University, Shanghai, China

4 College of Health Science, University of Kentucky, Lexington, KY, United States

5 Apple Inc, Cupertino, CA, United States

6 Department of Psychology, University of Wisconsin-Madison, Madison, WI, United States

*these authors contributed equally

Corresponding Author:

  • Ellie Fan Yang, PhD
  • School of Communication and Mass Media
  • Northwest Missouri State University
  • 800 University Dr
  • 239 Wells Hall
  • Maryville, MO, 64468
  • United States
  • Phone: 1 6605621618
  • Email: eyang@nwmissouri.edu