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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Machine Learning (2076) Clinical Information and Decision Making (1915) HIV/AIDS/STI Prevention and Care (1043)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37850, first published .
Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study

Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study

Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study

Authors of this article:

Xianglong Xu1, 2, 3 Author Orcid Image ;   Zhen Yu2, 3, 4 Author Orcid Image ;   Zongyuan Ge4 Author Orcid Image ;   Eric P F Chow1, 2, 5 Author Orcid Image ;   Yining Bao3 Author Orcid Image ;   Jason J Ong1, 2, 3 Author Orcid Image ;   Wei Li6 Author Orcid Image ;   Jinrong Wu7 Author Orcid Image ;   Christopher K Fairley1, 2, 3 Author Orcid Image ;   Lei Zhang1, 2, 3 Author Orcid Image
Article Authors Cited by (38) Tweetations (8) Metrics

Journals

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  5. Latt P, Soe N, Xu X, Ong J, Chow E, Fairley C, Zhang L. Identifying Individuals at High Risk for HIV and Sexually Transmitted Infections With an Artificial Intelligence–Based Risk Assessment Tool. Open Forum Infectious Diseases 2024;11(3) View
  6. Soe N, Latt P, Yu Z, Lee D, Kim C, Tran D, Ong J, Ge Z, Fairley C, Zhang L. Clinical features-based machine learning models to separate sexually transmitted infections from other skin diagnoses. Journal of Infection 2024;88(4):106128 View
  7. Nguyen T, Yang W, Tang Z, Xia X, Mullens A, Dean J, Li Y. Lightweight federated learning for STIs/HIV prediction. Scientific Reports 2024;14(1) View
  8. Ge Q, Lu X, Jiang R, Zhang Y, Zhuang X. Data mining and machine learning in HIV infection risk research: An overview and recommendations. Artificial Intelligence in Medicine 2024;153:102887 View
  9. Liu C, Wu H, Li K, Chi Y, Wu Z, Xing C. Identification of biomarkers for abdominal aortic aneurysm in Behçet's disease via mendelian randomization and integrated bioinformatics analyses. Journal of Cellular and Molecular Medicine 2024;28(10) View
  10. Soe N, Yu Z, Latt P, Lee D, Ong J, Ge Z, Fairley C, Zhang L. Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata. BMC Medicine 2024;22(1) View
  11. Jaiteh M, Phalane E, Shiferaw Y, Voet K, Phaswana-Mafuya R. Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review. Algorithms 2024;17(8):362 View
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  14. Latt P, Soe N, King A, Lee D, Phillips T, Xu X, Chow E, Fairley C, Zhang L, Ong J. Preferences for attributes of an artificial intelligence-based risk assessment tool for HIV and sexually transmitted infections: a discrete choice experiment. BMC Public Health 2024;24(1) View
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  16. Li B, Liu L, Xu Z, Li K. Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model. Environmental Research 2025;267:120653 View
  17. Soe N, Towns J, Latt P, Woodberry O, Chung M, Lee D, Ong J, Chow E, Zhang L, Fairley C. Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms. BMC Infectious Diseases 2024;24(1) View
  18. Ji X, Tang Z, Osborne S, Van Nguyen T, Mullens A, Dean J, Li Y. STI/HIV risk prediction model development—A novel use of public data to forecast STIs/HIV risk for men who have sex with men. Frontiers in Public Health 2025;12 View
  19. Lu F, She B, Zhao R, Li G, Hu Y, Liu Y, Zhao M, Zhang L. Identifying High-Risk Populations for Sexually Transmitted Infections in Chinese Men Who Have Sex With Men: A Cluster Analysis. Open Forum Infectious Diseases 2024;12(1) View
  20. Chen Z, Dai Y, Chen Y, Chen H, Wu H, Zhang L. Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database. Lupus Science & Medicine 2025;12(1):e001397 View
  21. Zhu J, Lin L, Si L, Zhao H, Song H, Xu X. Urban and rural disparities in stroke prediction using machine learning among Chinese older adults. Scientific Reports 2025;15(1) View
  22. Islam S, Shahriyar R, Agarwala A, Zaman M, Ahamed S, Rahman R, Chowdhury M, Sarker F, Mamun K. Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review. BMC Medical Informatics and Decision Making 2025;25(1) View
  23. Soe N, Latt P, Lee D, Towns J, King A, Chow E, Ong J, Zhang L, Fairley C. Impact of Result Displays in an Anogenital Symptom Checker App on Health-seeking Behaviours: A Cross-sectional, Vignette-based Study. Open Forum Infectious Diseases 2025;12(4) View
  24. Vialard F, Zhang Q, Webster D, Materniak S, Dumont Blais A, Nair S, Bartlett S, Pant Pai N. Developing and validating a Bayesian clinical risk prediction model for three sexually transmitted infections in key populations from two Canadian provinces. Sexually Transmitted Infections 2025;101(7):467 View
  25. Latt P, Soe N, Fairley C, Chow E, Johnson C, Shah P, Maatouk I, Zhang L, Ong J. Machine learning for personalized risk assessment of HIV, syphilis, gonorrhoea and chlamydia: A systematic review and meta-analysis. International Journal of Infectious Diseases 2025;157:107922 View
  26. Khan B, Bhatt S, Shishak M, Madhumita M, Gupta S. The Role of Artificial Intelligence in Diagnosis and Management of Cutaneous Infections. Current Dermatology Reports 2025;14(1) View
  27. Liu L, Lai W, Li B, Wang S, Yu M, Liu Y, Chai Y. Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model. Frontiers in Cardiovascular Medicine 2025;12 View
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  29. Li G, Liu Y, Hu Y, Lu F, She B, Zhao R, Chow E, Zhang L, Hogben M. The use of saliva as a lubricant in relation to sexual behavioural patterns in men who have sex with men: an exploratory cross-sectional study. Sexual Health 2025;22(4) View
  30. King A, Soe N, Latt P, Zhang L, Temple-Smith M, Maddaford K, Fairley C, Chow E, Phillips T. Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study. DIGITAL HEALTH 2025;11 View
  31. Zhao R, Li Y, He S, Zhang W, Sun J, Fang Z, Zhang L, Su S, Ong J, Zhang L. Awareness, Acceptance, and Uptake of HIV Pre-Exposure Prophylaxis among Men Who Have Sex with Men (MSM) in Northwestern China: A Cross-Sectional Study. AIDS and Behavior 2025 View
  32. Soe N, Kusnandar I, Latt P, Fairley C, Chow E, Maatouk I, Johnson C, Shah P, Peters R, Subissi L, Zhang L, Ong J. Use of AI in Identification of Sexually Transmitted Infections and Anogenital Dermatoses. JAMA Network Open 2025;8(10):e2533512 View
  33. Zhu J, Shi Z, Ge Z, Yi X, Zhang X, He W, Song H, Xu X. Comparative analysis of cardiometabolic multimorbidity predictors in China and the USA: A machine learning approach. Diabetes Research and Clinical Practice 2025;229:112938 View
  34. Soe N, Latt P, Lee D, Yu Z, Schmidt M, Bissessor M, Aung E, Ge Z, Rahman R, Chow E, Ong J, Fairley C, Zhang L. Using deep learning systems for diagnosing common skin lesions in sexual health. Communications Medicine 2025;5(1) View
  35. Latt P, Soe N, Xu X, Bao Y, Lee D, Ong J, Chow E, Zhang L, Fairley C. Anxiety responses and testing intentions among gay and bisexual men using an AI-powered HIV/STI risk assessment tool: a quasi-experimental study. BMC Public Health 2025;25(1) View
  36. Latt P, Ray A, Lu H, Soe N, Xu X, Bao Y, Ong J, Chow E, Varma R, Zhang L, Fairley C. External validation of a web- and artificial intelligence-based HIV/STI risk assessment tool: performance evaluation using data from Sydney sexual health centre. BMC Infectious Diseases 2025;25(1) View
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Books/Policy Documents

  1. Zar A, Zar L, Mohsen S, Magdi Y, Zughaier S. Surveillance, Prevention, and Control of Infectious Diseases. View