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Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact.
Ajuwon, Busayo I; Awotundun, Oluwatosin N; Richardson, Alice; Roper, Katrina; Sheel, Meru; Rahman, Nurudeen; Salako, Abideen; Lidbury, Brett A.
Afiliação
  • Ajuwon BI; National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Acton, Australian Capital Territory, Australia; Department of Biosciences and Biotechnology, Faculty of Pure and Applied Sciences, Kwara State University, Malete, Nigeria.
  • Awotundun ON; Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
  • Richardson A; Statistical Support Network, The Australian National University, Acton, ACT, Australia.
  • Roper K; National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Acton, Australian Capital Territory, Australia.
  • Sheel M; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, New South Wales, Australia.
  • Rahman N; Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Salako A; Department of Clinical Sciences, Nigerian Institute of Medical Research, Yaba, Lagos State, Nigeria.
  • Lidbury BA; National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Acton, Australian Capital Territory, Australia.
Int J Med Inform ; 179: 105244, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37820561

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Infecções por HIV / Hepatite C Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nigéria

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Infecções por HIV / Hepatite C Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nigéria