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Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to compare their predictive performance with a conventional scoring (reference) model. In a 17-center prospective study of infants (aged < 1 year) hospitalized for bronchiolitis, by using routinely-avail...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335203/ https://www.ncbi.nlm.nih.gov/pubmed/32620819 http://dx.doi.org/10.1038/s41598-020-67629-8 |