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

BACKGROUND: Acute kidney injury (AKI) has serious consequences on the prognosis of patients undergoing liver transplantation. Recently, artificial neural network (ANN) was reported to have better predictive ability than the classical logistic regression (LR) for this postoperative outcome. AIM: To i...

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Detalles Bibliográficos
Autores principales: Bredt, Luis Cesar, Peres, Luis Alberto Batista, Risso, Michel, Barros, Leandro Cavalcanti de Albuquerque Leite
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Retrospective Cohort Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055199/
https://www.ncbi.nlm.nih.gov/pubmed/35582300
http://dx.doi.org/10.4254/wjh.v14.i3.570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055199/
https://www.ncbi.nlm.nih.gov/pubmed/35582300
http://dx.doi.org/10.4254/wjh.v14.i3.570

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