Kidney Transplant, Miscelleneous.
| Article DOI | https://doi.org/10.1016/j.transproceed.2007.05.026 |
| Objective | To predict delayed decrease in serum creatinine in pediatric kidney recipients |
| AI Approach | ANN |
| Data Source(s) | Institutional series (148 patients) |
| Model Input | 20 variables (incl: patient demographics, early serum creatinine, urine volume, pretransplant characteristics) |
| Model Outcome | Delayed increase in creatinine |
| Model Metrics | AUROC = 0.89, accuracy = 87% |
| Model Usability | Code is described (Visual Basic, C++) and may be available upon contact or readily generated on Statistica, |
AIPEDURO 
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