Video 1_A machine learning algorithm to predict treatment effectiveness for Kawasaki disease in China: a retrospective model development and validation study.mp4

Video 1_A machine learning algorithm to predict treatment effectiveness for Kawasaki disease in China: a retrospective model development and validation study.mp4

Background<p>Kawasaki disease (KD) is the primary cause of acquired heart disease in children. Intravenous immunoglobulin (IVIG) is the first-line therapy for KD; however, IVIG resistance can occur. Reliable treatment efficacy prediction tools for Chinese patients are lacking, which this study...

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書誌詳細
第一著者:	Xuemei Li (232384) (author)
その他の著者:	Zihan Zhou (4184407) (author), Jingyi Fan (8304171) (author), Lin Zhao (92451) (author), Ruidi Xu (16680552) (author), Dong Li (212687) (author), Xu Ma (45624) (author), Lu Sun (194355) (author), Yujian Wu (7515242) (author), Zhouping Wang (1732456) (author), Ce Wang (310582) (author)
出版事項:	2025
主題:	Genetic Immunology Kawasaki disease IVIG resistance machine learning SHAP algorithm intravenous immunoglobulin
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