Copyright
©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 3 Variance importance plot of predictors of acute kidney injury for artificial neural network.
KD: Kidney dysfunction; MELD: Model for End-stage Liver Disease; IOAH: Intra-operative arterial hypotension; MBT: Massive blood transfusion; ECD: Extended criteria donor; AKI: Acute kidney injury; ANN: Artificial neural network.
- 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