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A Multi-Stage Framework for Kawasaki Disease Prediction Using Clustering-Based Undersampling and Synthetic Data Augmentation: Cross-Institutional Validation with Dual-Center Clinical Data in Taiwan

Kawasaki disease (KD) is a rare yet potentially life-threatening pediatric vasculitis that, if left undiagnosed or untreated, can result in serious cardiovascular complications. Its heterogeneous clinical presentation poses diagnostic challenges, often failing to meet classical criteria and increasi...

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Автори: Heng-Chih Huang, Chuan-Sheng Hung, Chun-Hung Richard Lin, Yi-Zhen Shie, Cheng-Han Yu, Ting-Hsin Huang
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2025-07-01
Серія:Bioengineering
Предмети:
Kawasaki disease
class imbalance
clustering
ensemble learning
data augmentation
Онлайн доступ:https://www.mdpi.com/2306-5354/12/7/742
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