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Automated En Masse Machine Learning Model Generation Shows Comparable Performance as Classic Regression Models for Predicting Delayed Graft Function in Renal Allografts.
Jen, Kuang-Yu; Albahra, Samer; Yen, Felicia; Sageshima, Junichiro; Chen, Ling-Xin; Tran, Nam; Rashidi, Hooman H.
Afiliação
  • Jen KY; Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, CA.
  • Albahra S; Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, CA.
  • Yen F; Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, CA.
  • Sageshima J; Division of Transplant Surgery, Department of Surgery, University of California, Davis School of Medicine, Sacramento, CA.
  • Chen LX; Section of Transplant Nephrology, Department of Medicine, University of California, Davis School of Medicine, Sacramento, CA.
  • Tran N; Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, CA.
  • Rashidi HH; Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, CA.
Transplantation ; 105(12): 2646-2654, 2021 12 01.
Article em En | MEDLINE | ID: mdl-33560727
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Rim / Função Retardada do Enxerto Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Rim / Função Retardada do Enxerto Idioma: En Ano de publicação: 2021 Tipo de documento: Article