Identifying Individuals at High Risk for HIV and Sexually Transmitted Infections With an Artificial Intelligence-Based Risk Assessment Tool.

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第一作者： Phyu M,Latt

第一单位： Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.

作者： Phyu M,Latt ^[1] ; Nyi N,Soe ^[2] ; Xianglong,Xu ^[1] ; Jason J,Ong ^[2] ; Eric P F,Chow ^[1] ; Christopher K,Fairley ^[3] ; Lei,Zhang ^[2]

作者单位： Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia. ^[1] Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. ^[2] School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China. ^[3] Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia. ^[4] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia. ^[5] Clinical Medical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210008, China. ^[6]

关键词 HIV STIs machine learning risk assessment tool sexually transmitted infections

DOI 10.1093/ofid/ofae011

PMID 38440304

发布时间 2024-03-06

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Identifying Individuals at High Risk for HIV and Sexually Transmitted Infections With an Artificial Intelligence-Based Risk Assessment Tool.

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Identifying Individuals at High Risk for HIV and Sexually Transmitted Infections With an Artificial Intelligence-Based Risk Assessment Tool.

Open forum infectious diseases

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