Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models

Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models

Kawasaki disease (KD) is a leading cause of acquired coronary vasculitis in children and remains a critical diagnostic challenge among febrile pediatric patients. To support frontline pediatricians with a more objective diagnostic tool, we developed and implemented KDpredictor, a machine learning-ba...

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Bibliographic Details
Main Authors: Tzu-Hsien Yang, Ying-Hsien Huang, Yuan-Han Lee, Jie-Nan Lai, Kuang-Den Chen, Mindy Ming-Huey Guo, Yan Pan, Chun-Yu Chen, Wei-Sheng Wu, Ho-Chang Kuo
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Kawasaki disease
Kawasaki disease diagnosis
Eosinophil
Alanine aminotransferase
C-reactive protein
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037025002521
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