Predicting renal damage in children with IgA vasculitis by machine learning.

Journal: Pediatric nephrology (Berlin, Germany)
PMID: 38916780

Abstract

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).

Authors

  • Mengen Pan
    Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Ming Li
    Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Jianhua Mao
    The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.

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