A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

BACKGROUND: Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity. Machine learning algorithms represent a novel approach for the data-driven prediction of clinical outcomes with advantages over st...

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Detalles Bibliográficos
Autores principales: Halasz, Geza, Sperti, Michela, Villani, Matteo, Michelucci, Umberto, Agostoni, Piergiuseppe, Biagi, Andrea, Rossi, Luca, Botti, Andrea, Mari, Chiara, Maccarini, Marco, Pura, Filippo, Roveda, Loris, Nardecchia, Alessia, Mottola, Emanuele, Nolli, Massimo, Salvioni, Elisabetta, Mapelli, Massimo, Deriu, Marco Agostino, Piga, Dario, Piepoli, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168638/
https://www.ncbi.nlm.nih.gov/pubmed/33999838
http://dx.doi.org/10.2196/29058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168638/
https://www.ncbi.nlm.nih.gov/pubmed/33999838
http://dx.doi.org/10.2196/29058

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