Development of a machine learning model for predicting renal damage in children with closed spinal dysraphism

Development of a machine learning model for predicting renal damage in children with closed spinal dysraphism

Abstract Background Renal damage in closed spinal dysraphism (CSD), primarily linked to neurogenic bladder dysfunction, significantly impacts long-term patient outcomes by increasing the risk of chronic kidney disease. Identifying patients at highest risk for renal damage is essential for implementi...

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Bibliographic Details
Main Authors: Yu He, Wan-liang Guo, Ming-chang Zhang
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Pediatrics
Subjects:
Closed spinal dysraphism
Renal damage
Machine learning
Extreme gradient boosting
Online Access:https://doi.org/10.1186/s12887-025-05936-7
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https://doi.org/10.1186/s12887-025-05936-7

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