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

Abstract

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.