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

Public (e)Health, Digital Epidemiology and Public Health Informatics (840) HIV/AIDS/STI Prevention and Care (930) LGBTQ Issues (489) Machine Learning (1662) Risky Sexual Behavior (155) Health and Risk Communication (53) mHealth for Data Collection and Research (1051) Cross-Sectional Studies in Public Health (324)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59101, first published .
Predicting the Risk of HIV Infection and Sexually Transmitted Diseases Among Men Who Have Sex With Men: Cross-Sectional Study Using Multiple Machine Learning Approaches

Predicting the Risk of HIV Infection and Sexually Transmitted Diseases Among Men Who Have Sex With Men: Cross-Sectional Study Using Multiple Machine Learning Approaches

Predicting the Risk of HIV Infection and Sexually Transmitted Diseases Among Men Who Have Sex With Men: Cross-Sectional Study Using Multiple Machine Learning Approaches

Authors of this article:

Bing Lin1, 2 Author Orcid Image ;   Jiaxiu Liu3 Author Orcid Image ;   Kangjie Li1, 2 Author Orcid Image ;   Xiaoni Zhong1, 2 Author Orcid Image
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