Construction and validation of predictive models for intravenous immunoglobulin-resistant Kawasaki disease using an interpretable machine learning approach

• Main Authors: Linfan Deng (Author), Jian Zhao (Author), Ting Wang (Author), Bin Liu (Author), Jun Jiang (Author), Peng Jia (Author), Dong Liu (Author), Gang Li (Author)
• Format: Book
• Published: The Korean Pediatric Society, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development. Purpose This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinica...