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

CONCLUSION: The severity of liver disease, pre-existing kidney dysfunction, marginal grafts, hemodynamic instability, MBT, and SL are predictors of postoperative AKI, and ANN has better prediction performance than LR in this scenario.PMID:35582300 | PMC:PMC9055199 | DOI:10.4254/wjh.v14.i3.570

Source: World Journal of Hepatology - May 18, 2022 Category: Gastroenterology Authors: Luis Cesar Bredt Luis Alberto Batista Peres Michel Risso Leandro Cavalcanti de Albuquerque Leite Barros Source Type: research