Predicting renal damage in children with IgA vasculitis by machine learning.
Background: Children with IgA Vasculitis (IgAV) may develop renal complications, which can impact their long-term prognosis. This study aimed to build a machine learning model to predict renal damage in children with IgAV and analyze risk factors for IgA Vasculitis with Nephritis (IgAVN). Methods: 5...
| Publicado en: | Pediatric Nephrology Vol. 39; no. 10; pp. 2997 - 3005 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |