Machine learning for personalized risk assessment of HIV, syphilis, gonorrhoea and chlamydia: A systematic review and meta-analysis.

Journal: International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Published Date:

Abstract

BACKGROUND: Machine learning (ML) shows promise for sexually transmitted infection (STI) risk prediction, but systematic evidence of its effectiveness remains fragmented.

Authors

  • Phyu M Latt
    Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. Electronic address: phyu.latt@monash.edu.
  • Nyi N Soe
    Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
  • Christopher K Fairley
    School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
  • Eric P F Chow
    School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
  • Cheryl C Johnson
    Global HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
  • Purvi Shah
    Global HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland; Regional Support Team, Asia Pacific, UNAIDS, Thailand.
  • Ismail Maatouk
    Global HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jason J Ong
    School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom.