%0期刊文章%@ 1438- 8871% I JMIR出版物%V 24卡塔尔世界杯8强波胆分析% N 8% P e37850% T基于web的风险预测工具，用于个人的艾滋病毒和性传播感染风险使用机器学习算法:开发及外部验证研究%A Xu， %A Yu， %A Ge， %A Chow,Eric P F %A Bao,Yining %A Ong,Jason J %A Li,Wei %A Wu,Jinrong %A Fairley,Christopher K %A Zhang,Lei +墨尔本性健康中心，Alfred Health, 580 Swanston Street，墨尔本，3053,61 3 9341 6230，lei.zhang1@monash.edu %K HIV %K性传播感染%K梅毒%K淋病%K衣原体%K性健康%K性传播%K性传播%K预测%K网络%K风险评估%K机器学习%K模型%K算法%K预测%K风险%K发展%K验证%D 2022 %7 25.8.2022 %9原始论文%J J医学互联网Res %G英文%X背景:艾滋病毒和性传播感染(STIs)是全球主要的公共卫生问题。在全世界15岁至49岁的人群中，每天发生100多万可治愈的性传播感染。检测或筛查不足严重阻碍了消除艾滋病毒和性传播感染。目的:我们研究的目的是开发一种使用机器学习算法的HIV和STI风险预测工具。方法:我们使用2015年3月2日至2018年12月31日期间在墨尔本性健康中心检测艾滋病毒和性传播感染的临床咨询作为开发数据集(培训和测试数据集)。我们还使用了2个外部验证数据集，包括2019年的数据作为外部“验证数据1”，2020年1月和2021年1月的数据作为外部“验证数据2”。我们开发了34个机器学习模型来评估感染艾滋病毒、梅毒、淋病和衣原体的风险。我们创建了一个在线工具来了解个人感染艾滋病毒或性传播感染的风险。 Results: The important predictors for HIV and STI risk were gender, age, men who reported having sex with men, number of casual sexual partners, and condom use. Our machine learning–based risk prediction tool, named MySTIRisk, performed at an acceptable or excellent level on testing data sets (area under the curve [AUC] for HIV=0.78; AUC for syphilis=0.84; AUC for gonorrhea=0.78; AUC for chlamydia=0.70) and had stable performance on both external validation data from 2019 (AUC for HIV=0.79; AUC for syphilis=0.85; AUC for gonorrhea=0.81; AUC for chlamydia=0.69) and data from 2020-2021 (AUC for HIV=0.71; AUC for syphilis=0.84; AUC for gonorrhea=0.79; AUC for chlamydia=0.69). Conclusions: Our web-based risk prediction tool could accurately predict the risk of HIV and STIs for clinic attendees using simple self-reported questions. MySTIRisk could serve as an HIV and STI screening tool on clinic websites or digital health platforms to encourage individuals at risk of HIV or an STI to be tested or start HIV pre-exposure prophylaxis. The public can use this tool to assess their risk and then decide if they would attend a clinic for testing. Clinicians or public health workers can use this tool to identify high-risk individuals for further interventions. %M 36006685 %R 10.2196/37850 %U //www.mybigtv.com/2022/8/e37850 %U https://doi.org/10.2196/37850 %U http://www.ncbi.nlm.nih.gov/pubmed/36006685