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Prediction tool for renal adaptation after living kidney donation using interpretable machine learning.
Jeon, Junseok; Yu, Jae Yong; Song, Yeejun; Jung, Weon; Lee, Kyungho; Lee, Jung Eun; Huh, Wooseong; Cha, Won Chul; Jang, Hye Ryoun.
Afiliación
  • Jeon J; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Yu JY; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Song Y; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Jung W; Smart Health Lab, Research Institute of Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Lee K; Smart Health Lab, Research Institute of Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Lee JE; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Huh W; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Cha WC; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jang HR; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Front Med (Lausanne) ; 10: 1222973, 2023.
Article en En | MEDLINE | ID: mdl-37521345
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza