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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autore principale: Xuemei Li (232384) (author)
Altri autori: 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)
Pubblicazione: 2025
Soggetti:
Genetic Immunology
Kawasaki disease
IVIG resistance
machine learning
SHAP algorithm
intravenous immunoglobulin
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi