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

Mobile Health Technology and Digital Platforms for Public Health (56) Registered Report (812) mHealth for Wellness, Behavior Change and Prevention (3369) Risky Sexual Behavior (177) Substance Abuse (540) Substance and Alcohol Abuse in Adolescence (136) HIV/AIDS/STI Prevention and Care (1056)

Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68013, first published .
Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Authors of this article:

Mehrab Beikzadeh1 Author Orcid Image ;   Ian W Holloway2 Author Orcid Image ;   Kimmo Kärkkäinen3 Author Orcid Image ;   Chenglin Hong4 Author Orcid Image ;   Cory Cascalheira5 Author Orcid Image ;   Elizabeth S C Wu2 Author Orcid Image ;   Callisto Boka6 Author Orcid Image ;   Alexandra C Avendaño2 Author Orcid Image ;   Elizabeth A Yonko6 Author Orcid Image ;   Majid Sarrafzadeh1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Boka C, Yonko E, Beikzadeh M, Kärkkäinen K, Hong C, Sarrafzadeh M, Holloway I. Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults. Prevention Science 2026 View