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

Mengen PanMing LiNa LiJian-Hua Mao

Published in: Pediatric nephrology (Berlin, Germany) (2024)

The model based on the random forest algorithm demonstrates good performance in predicting renal damage in children with IgAV, providing a basis for early clinical diagnosis and decision-making.

Keyphrases

machine learning
decision making
young adults
oxidative stress
deep learning
climate change
artificial intelligence
big data