A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease

INTRODUCTION: In Kawasaki disease (KD), accurate prediction of intravenous immunoglobulin (IVIG) resistance is crucial to reduce a risk for developing coronary artery lesions. OBJECTIVE: To establish a simple scoring model predicting IVIG resistance in KD patients based on the machine learning model...

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Detalles Bibliográficos
Autores principales: Sunaga, Yuto, Watanabe, Atsushi, Katsumata, Nobuyuki, Toda, Takako, Yoshizawa, Masashi, Kono, Yosuke, Hasebe, Yohei, Koizumi, Keiichi, Hoshiai, Minako, Kawakami, Eiryo, Inukai, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832252/
https://www.ncbi.nlm.nih.gov/pubmed/36627530
http://dx.doi.org/10.1007/s10067-023-06502-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832252/
https://www.ncbi.nlm.nih.gov/pubmed/36627530
http://dx.doi.org/10.1007/s10067-023-06502-1

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