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Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review.
Arora, Tanima; Martin, Melissa; Grimshaw, Alyssa; Mansour, Sherry; Wilson, Francis P.
Afiliação
  • Arora T; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA tanima.arora@yale.edu.
  • Martin M; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Grimshaw A; Harvey Cushing Library, Yale University School of Medicine, New Haven, Connecticut, USA.
  • Mansour S; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Wilson FP; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
BMJ Open ; 10(12): e042035, 2020 12 22.
Article em En | MEDLINE | ID: mdl-33371041
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Injúria Renal Aguda Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Injúria Renal Aguda Idioma: En Ano de publicação: 2020 Tipo de documento: Article