IntroductionAssessing the likelihood of engaging in high-risk sexual behavior can assist in delivering tailored educational interventions. The objective of this study was to identify the most effective algorithm and assess high-risk sexual behaviors within the last six months through the utilization of machine-learning models. MethodsThe survey conducted in the Longhua District CDC. S... https://www.greenresourcesredux.com/product-category/default/