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Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension.
Datta, Shounak; Loftus, Tyler J; Ruppert, Matthew M; Giordano, Chris; Upchurch, Gilbert R; Rashidi, Parisa; Ozrazgat-Baslanti, Tezcan; Bihorac, Azra.
Afiliação
  • Datta S; Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida.
  • Loftus TJ; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida; Department of Surgery, University of Florida, Gainesville, Florida.
  • Ruppert MM; Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida.
  • Giordano C; Department of Anesthesiology, University of Florida, Gainesville, Florida.
  • Upchurch GR; Department of Surgery, University of Florida, Gainesville, Florida.
  • Rashidi P; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida; Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
  • Ozrazgat-Baslanti T; Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida.
  • Bihorac A; Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida. Electronic address: abihorac@ufl.edu.
J Surg Res ; 254: 350-363, 2020 10.
Article em En | MEDLINE | ID: mdl-32531520
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Modelos Estatísticos / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Modelos Estatísticos / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article