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Machine Learning Model to Predict Graft Rejection After Kidney Transplantation.
Minato, Arthur Cesar Dos Santos; Hannun, Pedro Guilherme Coelho; Barbosa, Abner Macola Pacheco; da Rocha, Naila Camila; Machado-Rugolo, Juliana; Cardoso, Marilia Mastrocolla de Almeida; de Andrade, Luis Gustavo Modelli.
Afiliación
  • Minato ACDS; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil. Electronic address: arthur.minato@unesp.br.
  • Hannun PGC; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil.
  • Barbosa AMP; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil.
  • da Rocha NC; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil.
  • Machado-Rugolo J; Health Technology Assessment Center (NATS), Clinical Hospital of Botucatu Medical School (HCFMB), São Paulo State University (UNESP), Botucatu, Brazil.
  • Cardoso MMA; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil; Health Technology Assessment Center (NATS), Clinical Hospital of Botucatu Medical School (HCFMB), São Paulo State University (UNESP), Botucatu, Brazil.
  • de Andrade LGM; Department of Internal Medicine, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu, Brazil.
Transplant Proc ; 55(9): 2058-2062, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37730451

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Transplant Proc Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Transplant Proc Año: 2023 Tipo del documento: Article