Article

Interpretable machine learning model for predicting kidney failure among CAKUT children in multicenter large-scale study

2026-02-10

Abstract excerpt

Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of pediatric kidney failure, but predicting individual progression remains challenging. This multicenter study developed and validated POCC, a machine learning model for predicting kidney failure risk at 1, 3, and 5 years post-diagnosis in CAKUT patients. Two versions were created using data from 2,249 children. The general model ac...

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Literature Corpus work: 04aa4181-bbcf-50fd-899c-2a917dd19361
DOI: 10.64898/2026.02.08.26345871

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