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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1022) HIV/AIDS/STI Prevention and Care (1047) LGBTQ Issues (543) Machine Learning (2094) Risky Sexual Behavior (175) Health and Risk Communication (78) mHealth for Data Collection and Research (1207) Cross-Sectional Studies in Public Health (437)

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
Article Authors Cited by (6) Tweetations Metrics

Bing Lin   1, 2 , MD ;   Jiaxiu Liu   3 , MD ;   Kangjie Li   1, 2 , MD ;   Xiaoni Zhong   1, 2 , MM

1 School of Public Health, Chongqing Medical University, Chongqing, China

2 Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China

3 School of Medical Informatics, Chongqing Medical University, Chongqing, China

Corresponding Author:

  • Xiaoni Zhong, MM
  • School of Public Health
  • Chongqing Medical University
  • No.1 Medical College Road
  • Yuzhong District
  • Chongqing 400016
  • China
  • Phone: 86 13527545050
  • Email: zhongxiaoni@cqmu.edu.cn