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

mHealth for Wellness, Behavior Change and Prevention (3333) Natural Language Processing (923) Substance Abuse (533) Use and User Demographics of mHealth (406) mHealth for Data Collection and Research (1207) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1924) Peer-to-Peer Support and Online Communities (800) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (89)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68438, first published .
Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data

Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data

Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data

Authors of this article:

Danny Valdez1 Author Orcid Image ;   Katie M Heinrich2 Author Orcid Image ;   Beth Collinson2 Author Orcid Image ;   Aspen Streetman3 Author Orcid Image ;   Zach Sloan4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Danny Valdez   1 , PhD ;   Katie M Heinrich   2 , PhD ;   Beth Collinson   2 , PhD ;   Aspen Streetman   3 , PhD ;   Zach Sloan   4 , MBA

1 Department of Applied Health Science, Indiana University, Bloomington, IN, United States

2 Department of Research and Evaluation, The Phoenix, Boston, MA, United States

3 Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States

4 The Phoenix, Boston, MA, United States

Corresponding Author:

  • Katie M Heinrich, PhD
  • Department of Research and Evaluation
  • The Phoenix
  • 54 Newmarket Sq
  • Boston, MA 02118
  • United States
  • Phone: 1 8084579525
  • Email: kmhphd@gmail.com