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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |