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Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review.
Hassan, Nehal; Slight, Robert; Weiand, Daniel; Vellinga, Akke; Morgan, Graham; Aboushareb, Fathy; Slight, Sarah P.
Afiliação
  • Hassan N; School of Pharmacy, Newcastle University, King George VI Building, Newcastle upon Tyne, NE1 7RU, UK. Electronic address: n.a.m.hassan2@newcastle.ac.uk.
  • Slight R; Newcastle Upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, High Heaton, Newcastle upon Tyne, NE7 7DN, UK. Electronic address: bob.slight@nhs.net.
  • Weiand D; Newcastle Upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, High Heaton, Newcastle upon Tyne, NE7 7DN, UK. Electronic address: dweiand@nhs.net.
  • Vellinga A; School of Medicine, National University of Ireland Galway, University Road, Galway, H91 TK33, Ireland. Electronic address: akke.vellinga@nuigalway.ie.
  • Morgan G; School of Computing, Newcastle University, Urban Sciences Building, Newcastle upon Tyne, NE4 5TG, UK. Electronic address: graham.morgan@ncl.ac.uk.
  • Aboushareb F; Northumbria Healthcare NHS Foundation Trust, Rake Lane, North Shields, Tyne and Wear, NE29 8NH, UK. Electronic address: fathy.aboushareb@nhs.net.
  • Slight SP; School of Pharmacy, Newcastle University, King George VI Building, Newcastle upon Tyne, NE1 7RU, UK. Electronic address: Sarah.Slight@newcastle.ac.uk.
Int J Med Inform ; 150: 104457, 2021 06.
Article em En | MEDLINE | ID: mdl-33878596

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sepse Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sepse Idioma: En Ano de publicação: 2021 Tipo de documento: Article