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...

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Detalles Bibliográficos
Autores principales: Raita, Yoshihiko, Camargo, Carlos A., Macias, Charles G., Mansbach, Jonathan M., Piedra, Pedro A., Porter, Stephen C., Teach, Stephen J., Hasegawa, Kohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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