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Study of a Kawasaki disease diagnostic prediction model based on the LightGBM machine learning algorithm

BackgroundKawasaki disease (KD) is an acute systemic vasculitis predominantly affecting children under 5 years of age. Its pathogenesis remains incompletely understood, and the lack of specific diagnostic biomarkers during the acute phase poses substantial challenges to clinical diagnosis. Such diag...

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Hoofdauteurs: Hongyan Li, Yushan Li, Chuxiong Gong, Ying Xiao, Zhongjian Su, Linfei Han, Hong Li, LiLi Deng, Bin Li, Yanfei Chen, Xing Zhang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2026-05-01
Reeks:Frontiers in Artificial Intelligence
Onderwerpen:
diagnostic model
Kawasaki disease
LightGBM
machine learning
SHAP
Online toegang:https://www.frontiersin.org/articles/10.3389/frai.2026.1776007/full
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