Diagnostic model based on bioinformatics and machine learning to distinguish Kawasaki disease using multiple datasets

BACKGROUND: Kawasaki disease (KD), characterized by systemic vasculitis, is the leading cause of acquired heart disease in children. Herein, we developed a diagnostic model, with some prognosis ability, to help distinguish children with KD. METHODS: Gene expression datasets were downloaded from Gene...

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Detalles Bibliográficos
Autores principales: Zhang, Mengyi, Ke, Bocuo, Zhuo, Huichuan, Guo, Binhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425821/
https://www.ncbi.nlm.nih.gov/pubmed/36042431
http://dx.doi.org/10.1186/s12887-022-03557-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425821/
https://www.ncbi.nlm.nih.gov/pubmed/36042431
http://dx.doi.org/10.1186/s12887-022-03557-y

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