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A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.

Xianglong XuB Zongyuan GeEric Pui Fung ChowZhen YuDavid LeeJinrong WuJason J OngChristopher K FairleyLei Zhang
Published in: Journal of clinical medicine (2022)
Using machine learning techniques, our risk-prediction tool has acceptable reliability in predicting HIV/STI acquisition over the next 12 months. This tool may be used on clinic websites or digital health platforms to form part of an intervention tool to increase testing or reduce future HIV/STI risk.
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