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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Pediatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12887-025-05936-7 |
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