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

Applications of AI (69) Infodemiology and Infoveillance (1323) Homelessness (30) Homeless Youth (15) Machine Learning (1432) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1611) Infoveillance and Social Listening (195)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53488, first published .
Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation Study

Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation Study

Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation Study

Authors of this article:

Tianjie Deng1 Author Orcid Image ;   Andrew Urbaczewski1 Author Orcid Image ;   Young Jin Lee1 Author Orcid Image ;   Anamika Barman-Adhikari2 Author Orcid Image ;   Rinku Dewri3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Tianjie Deng   1 , PhD ;   Andrew Urbaczewski   1 , PhD ;   Young Jin Lee   1 , PhD ;   Anamika Barman-Adhikari   2 , PhD ;   Rinku Dewri   3 , PhD

1 Department of Business Information & Analytics, Daniels College of Business, University of Denver, Denver, CO, United States

2 Graduate School of Social Work, University of Denver, Denver, CO, United States

3 Department of Computer Science, Ritchie School of Engineering and Computer Science, University of Denver, Denver, CO, United States

Corresponding Author:

  • Tianjie Deng, PhD
  • Department of Business Information & Analytics
  • Daniels College of Business
  • University of Denver
  • 2101 S University Blvd
  • Denver, CO, 80210
  • United States
  • Phone: 1 3038712155
  • Email: tianjie.deng@du.edu