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A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.
Yoo, Kyung Don; Noh, Junhyug; Lee, Hajeong; Kim, Dong Ki; Lim, Chun Soo; Kim, Young Hoon; Lee, Jung Pyo; Kim, Gunhee; Kim, Yon Su.
Afiliação
  • Yoo KD; Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Korea.
  • Noh J; Department of Computer Science and Engineering, College of Engineering, Seoul National University, Seoul, Korea.
  • Lee H; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
  • Kim DK; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
  • Lim CS; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
  • Kim YH; Department of Surgery, College of Medicine, Ulsan University, Asan Medical Center, Seoul, Korea.
  • Lee JP; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
  • Kim G; Department of Computer Science and Engineering, College of Engineering, Seoul National University, Seoul, Korea. gunhee.kim@gmail.com.
  • Kim YS; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. yonsukim@snu.ac.kr.
Sci Rep ; 7(1): 8904, 2017 08 21.
Article em En | MEDLINE | ID: mdl-28827646
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Rim / Transplantados / Aprendizado de Máquina / Sobrevivência de Enxerto Idioma: En Ano de publicação: 2017 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 / Transplantados / Aprendizado de Máquina / Sobrevivência de Enxerto Idioma: En Ano de publicação: 2017 Tipo de documento: Article