A Machine Learning Model to Predict Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients: A Retrospective Study Based on the Chongqing Population

Objective: We explored the risk factors for intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD) and constructed a prediction model based on machine learning algorithms. Methods: A retrospective study including 1,398 KD patients hospitalized in 7 affiliated hospitals o...

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Detalles Bibliográficos
Autores principales: Liu, Jie, Zhang, Jian, Huang, Haodong, Wang, Yunting, Zhang, Zuyue, Ma, Yunfeng, He, Xiangqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606736/
https://www.ncbi.nlm.nih.gov/pubmed/34820343
http://dx.doi.org/10.3389/fped.2021.756095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606736/
https://www.ncbi.nlm.nih.gov/pubmed/34820343
http://dx.doi.org/10.3389/fped.2021.756095

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