A machine learning-based model to predict intravenous immunoglobulin resistance in Kawasaki disease

A machine learning-based model to predict intravenous immunoglobulin resistance in Kawasaki disease

Summary: Accurate prediction of intravenous immunoglobulin (IVIG) resistance is crucial for the effective treatment of Kawasaki disease(KD). This study aimed to develop a predictive model for IVIG resistance in patients with Kawasaki disease and to identify the key predictors. The training set under...

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Bibliographic Details
Main Authors: Yuhan Xia, Yuezhong Huang, Min Gong, Weirong Liu, Yuanhui Meng, Huiyang Wu, Hui Zhang, Hao Zhang, Luyi Weng, Xiao-Li Chen, Huixian Qiu, Xing Rong, Rongzhou Wu, Maoping Chu, Xiu-Feng Huang
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:iScience
Subjects:
Cardiovascular medicine
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225002640
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http://www.sciencedirect.com/science/article/pii/S2589004225002640

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