Evaluating machine learning algorithms for predicting HIV status among young Thai men who have sex with men.

Journal: BMJ health & care informatics
Published Date: May 15, 2025

Abstract

OBJECTIVE: This study aimed to develop machine learning (ML) models to predict HIV status and assessed the factors associated with HIV infection among young men who have sex with men (MSM) under the Universal Health Coverage (UHC) programme in Thailand.

Authors

  • Krittaka Soha
    Master of Biomedical Data Science program, Kasetsart University, Bangkok, Thailand.
  • Sadiporn Phuthomdee
    Department of Statistics, Kasetsart University, Bangkok, Thailand.
  • Thanapat Srichai
    National Health Security Office, Bangkok, Thailand.
  • Lanchakorn Kittiratanawasin
    Master of Biomedical Data Science program, Kasetsart University, Bangkok, Thailand.
  • Win Min Han
    HIV-NAT, Thai Red Cross AIDS Research Centre, Bangkok, Thailand.
  • Sirinya Teeraananchai
    Master of Biomedical Data Science program, Kasetsart University, Bangkok, Thailand sirinya.te@ku.th.

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