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Machine Learning for Mortality Prediction in Pediatric Myocarditis
Background: Pediatric myocarditis is a rare disease. The etiologies are multiple. Mortality associated with the disease is 5–8%. Prognostic factors were identified with the use of national hospitalization databases. Applying these identified risk factors for mortality prediction has not been reporte...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102689/ https://www.ncbi.nlm.nih.gov/pubmed/33968849 http://dx.doi.org/10.3389/fped.2021.644922 |