An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children

An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children

Abstract Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due to its unclear pathogenesis and the lack of specific diagnostic markers, it is prone to being confused with other diseases that exhibit similar symptoms, making early and accurate diagnosis c...

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Bibliographic Details
Main Authors: Mengyu Duan, Zhimin Geng, Lichao Gao, Yonggen Zhao, Zheming Li, Lindong Chen, Pekka Kuosmanen, Guoqiang Qi, Fangqi Gong, Gang Yu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Machine learning
Interpretability
Kawasaki disease
SHAP
XGBoost
Streamlit.
Online Access:https://doi.org/10.1038/s41598-025-92277-1
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https://doi.org/10.1038/s41598-025-92277-1

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