PUV
| Article DOI | https://doi.org/10.1007/s00467-021-05321-3 |
| Objective | To predict risk of CKD progression, need for renal replacement therapy (RRT), and clean-intermittent catheterization (CIC) |
| AI Approach | Random survival forest |
| Data Source(s) | Institutional series (103 patients), one external institutional series (22 patients) |
| Model Input | Nadir Creatinine, one-year eGFR, VUR grade on VCUG, and ultrasound findings of renal dysplasia |
| Model Outcome | CKD Progression RRT CIC |
| Model Metrics | CKD: c-index = 0.77 RRT: c-index = 0.95 CIC: c-index = 0.70 |
| Model Usability | https://share.streamlit.io/jcckwong/puvop/main/app.py |
AIPEDURO 
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