Risk factors and prediction of acute kidney injury after liver transplantation: Logistic regression and artificial neural network approaches.

Bredt, Luis Cesar; Peres, Luis Alberto Batista; Risso, Michel; Barros, Leandro Cavalcanti de Albuquerque Leite

Bredt, Luis Cesar; Peres, Luis Alberto Batista; Risso, Michel; Barros, Leandro Cavalcanti de Albuquerque Leite.

Afiliación

Bredt LC; Department of Surgical Oncology and Hepatobilary Surgery, Unioeste, Cascavel 85819-110, Paraná, Brazil. lcbredt@gmail.com.
Peres LAB; Department of Nephrology, Unioeste, Cascavel 85819-110, Paraná, Brazil.
Risso M; Department of Internal Medicine, Assis Gurgacz University, Cascavel 85000, Paraná, Brazil.
Barros LCAL; Department of Hepatobiliary Surgery, Unioeste, Cascavel 85819-110, Paraná, Brazil.

World J Hepatol ; 14(3): 570-582, 2022 Mar 27.

Article en En | MEDLINE | ID: mdl-35582300

Palabras clave

Acute kidney injury; Artificial neural network; Liver transplantation; Logistic regression; Machine learning

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Hepatol Año: 2022 Tipo del documento: Article País de afiliación: Brasil

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