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Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models.
Jung, Seungho; Park, Kyemyung; Ihn, Kyong; Kim, Seon Ju; Kim, Myoung Soo; Chae, Dongwoo; Koo, Bon-Nyeo.
Afiliação
  • Jung S; Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
  • Park K; Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), 50, UNIST-gil, Ulju-gun, Ulsan, 44919, Republic of Korea.
  • Ihn K; Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim SJ; Department of Anesthesiology and Pain Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea.
  • Kim MS; Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Chae D; Department of Pharmacology, Yonsei University College of Medicine, 50-1 Yonseiro, Seodaemun-gu, Seoul, 03722, Republic of Korea. dongy@yuhs.ac.
  • Koo BN; Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. KOOBN@yuhs.ac.
Sci Rep ; 12(1): 22411, 2022 12 27.
Article em En | MEDLINE | ID: mdl-36575218
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Fígado Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Child / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Fígado Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Child / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article