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

• 主要な著者: Linfan Deng (著者), Jian Zhao (著者), Ting Wang (著者), Bin Liu (著者), Jun Jiang (著者), Peng Jia (著者), Dong Liu (著者), Gang Li (著者)
• フォーマット: 図書
• 出版事項: The Korean Pediatric Society, 2024-08-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...