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

Liu, Jie; Zhang, Jian; Huang, Haodong; Wang, Yunting; Zhang, Zuyue; Ma, Yunfeng; He, Xiangqian

Liu, Jie; Zhang, Jian; Huang, Haodong; Wang, Yunting; Zhang, Zuyue; Ma, Yunfeng; He, Xiangqian.

Afiliación

Liu J; School of Medical Informatics, Chongqing Medical University, Chongqing, China.
Zhang J; School of Medical Informatics, Chongqing Medical University, Chongqing, China.
Huang H; School of Medical Informatics, Chongqing Medical University, Chongqing, China.
Wang Y; School of Medical Informatics, Chongqing Medical University, Chongqing, China.
Zhang Z; Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
Ma Y; School of Medical Informatics, Chongqing Medical University, Chongqing, China.
He X; School of Medical Informatics, Chongqing Medical University, Chongqing, China.

Front Pediatr ; 9: 756095, 2021.

Article en En | MEDLINE | ID: mdl-34820343

Palabras clave

Kawasaki disease; intravenous immunoglobulin resistance; machine learning; prediction model; risk factors

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pediatr Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google