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A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.
Xu, Xianglong; Ge, Zongyuan; Chow, Eric P F; Yu, Zhen; Lee, David; Wu, Jinrong; Ong, Jason J; Fairley, Christopher K; Zhang, Lei.
Afiliação
  • Xu X; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia.
  • Ge Z; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • Chow EPF; China Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an 710061, China.
  • Yu Z; Monash e-Research Centre, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Centre, Monash University, Melbourne, VIC 3800, Australia.
  • Lee D; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia.
  • Wu J; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • Ong JJ; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3053, Australia.
  • Fairley CK; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • Zhang L; Monash e-Research Centre, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Centre, Monash University, Melbourne, VIC 3800, Australia.
J Clin Med ; 11(7)2022 Mar 25.
Article em En | MEDLINE | ID: mdl-35407428
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália