Published on in Vol 10, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9745, first published .
Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Sahiti Myneni 1, MSE, PhD;  Vishnupriya Sridharan 1, MS, ;  Nathan Cobb 2, MD;  Trevor Cohen 1, MBChB, PhD

1 School of Biomedical Informatics , University of Texas Health Science Center at Houston, Houston, TX, US

2 Georgetown University Medical Center , Washington, DC, US

Corresponding Author:

  • Sahiti Myneni, MSE, PhD
  • School of Biomedical Informatics
  • University of Texas Health Science Center at Houston
  • 7000 Fannin Street, Suite 165
  • Houston, TX
  • US
  • Phone: 1 713 486 0115
  • Email: Sahiti.Myneni@uth.tmc.edu