Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease

• Main Authors: Yasutaka Kuniyoshi (Author), Haruka Tokutake (Author), Natsuki Takahashi (Author), Azusa Kamura (Author), Sumie Yasuda (Author), Makoto Tashiro (Author)
• Format: Book
• Published: Frontiers Media S.A., 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

We constructed an optimal machine learning (ML) method for predicting intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD) using commonly available clinical and laboratory variables. We retrospectively collected 98 clinical records of hospitalized children with KD (2-1...