Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning

• Main Authors: Yaqi Tang (Author), Yuhai Liu (Author), Zhanhui Du (Author), Zheqi Wang (Author), Silin Pan (Author)
• Format: Book
• Published: BMC, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Objective Kawasaki syndrome (KS) is an acute vasculitis that affects children < 5 years of age and leads to coronary artery lesions (CAL) in about 20-25% of untreated cases. Machine learning (ML) is a branch of artificial intelligence (AI) that integrates complex data sets on a large sca...