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

NIH funded proposals with peer-review reports (USA) (120) Machine Learning (2134) LGBTQ Issues (549) HIV/AIDS/STI Prevention and Care (1054) Web-based and Mobile Health Interventions (4083)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58448, first published .
Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Authors of this article:

Ian W Holloway1 Author Orcid Image ;   Elizabeth S C Wu1 Author Orcid Image ;   Callisto Boka2 Author Orcid Image ;   Nina Young1 Author Orcid Image ;   Chenglin Hong1 Author Orcid Image ;   Kimberly Fuentes1 Author Orcid Image ;   Kimmo Kärkkäinen3 Author Orcid Image ;   Mehrab Beikzadeh3 Author Orcid Image ;   Alexandra Avendaño1 Author Orcid Image ;   Juan C Jauregui1 Author Orcid Image ;   Aileen Zhang1 Author Orcid Image ;   Lalaine Sevillano1, 4 Author Orcid Image ;   Colin Fyfe1 Author Orcid Image ;   Cal D Brisbin1 Author Orcid Image ;   Raiza M Beltran1 Author Orcid Image ;   Luisita Cordero1 Author Orcid Image ;   Jeffrey T Parsons5 Author Orcid Image ;   Majid Sarrafzadeh3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Beikzadeh M, Holloway I, Kärkkäinen K, Hong C, Cascalheira C, Wu E, Boka C, Avendaño A, Yonko E, Sarrafzadeh M. Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study. Online Journal of Public Health Informatics 2025;17:e68013 View
  2. Karve Z, Calpey J, Machado C, Knecht M, Mejia M. New Doc on the Block: A Scoping Review of Artificial Intelligence Systems Delivering Motivational Interviewing for Health Behavior Change (Preprint). Journal of Medical Internet Research 2025 View
  3. 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