Prediction of Kidney Graft Rejection Using Artificial Neural Network.

Conclusions: The results of this study indicate that the ANN model outperformed LR in the prediction of kidney transplantation failure. Therefore, this approach is a promising classifier for predicting graft failure to improve patients' survival and quality of life, and it should be further investigated for the prediction of other clinical outcomes. PMID: 29181237 [PubMed]
Source: Healthcare Informatics Research - Category: Information Technology Tags: Healthc Inform Res Source Type: research