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The potential for artificial intelligence to predict clinical outcomes in patients who have acquired acute kidney injury during the perioperative period.
Kelly, Barry J; Chevarria, Julio; O'Sullivan, Barry; Shorten, George.
Afiliação
  • Kelly BJ; Department of Anaesthesiology and Intensive Care Medicine, University College Cork School of Medicine, Cork, Ireland. barry.kelly@ucc.ie.
  • Chevarria J; Department of Nephrology, University College Cork School of Medicine, Cork, Ireland.
  • O'Sullivan B; Insight Centre for Data Analytics, School of Computer Science & Information Technology, University College Cork, Cork, Ireland.
  • Shorten G; Anaesthesiology and Intensive Care Medicine, School of Medicine, University College Cork, Cork, Ireland.
Perioper Med (Lond) ; 10(1): 49, 2021 Dec 15.
Article em En | MEDLINE | ID: mdl-34906249
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Perioper Med (Lond) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irlanda
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Perioper Med (Lond) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irlanda