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©The Author(s) 2022.
World J Hepatol. Mar 27, 2022; 14(3): 570-582
Published online Mar 27, 2022. doi: 10.4254/wjh.v14.i3.570
Published online Mar 27, 2022. doi: 10.4254/wjh.v14.i3.570
Figure 2 Area under the receiver-operating characteristic curve of the two different models for predicting acute kidney injury (n = 145).
LR: Logistic regression; AUROC: Area under the receiver-operating characteristic curve; ANN: Artificial neural network; AKI: Acute kidney injury.
- Citation: Bredt LC, Peres LAB, Risso M, Barros LCAL. Risk factors and prediction of acute kidney injury after liver transplantation: Logistic regression and artificial neural network approaches . World J Hepatol 2022; 14(3): 570-582
- URL: https://www.wjgnet.com/1948-5182/full/v14/i3/570.htm
- DOI: https://dx.doi.org/10.4254/wjh.v14.i3.570