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

Infodemiology and Infoveillance (1274) Machine Learning (1385) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Mass Media/Social Media Communication and Campaigns (448) Smoking Cessation (518)

Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12443, first published .
Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

Authors of this article:

Kar-Hai Chu1 Author Orcid Image ;   Jason Colditz1 Author Orcid Image ;   Momin Malik2 Author Orcid Image ;   Tabitha Yates1 Author Orcid Image ;   Brian Primack1 Author Orcid Image
Article Authors Cited by (12) Tweetations (32) Metrics

Kar-Hai Chu   1 * , PhD ;   Jason Colditz   1 * , MEd ;   Momin Malik   2 * , MS ;   Tabitha Yates   1 * ;   Brian Primack   1 * , MD, PhD

1 School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

2 Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States

*all authors contributed equally

Corresponding Author:

  • Kar-Hai Chu, PhD
  • School of Medicine
  • University of Pittsburgh
  • Pittsburgh, PA
  • United States
  • Phone: 1 4126922578
  • Email: chuk@pitt.edu