A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19

The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction model using easy-to-obtain parameters to help to ide...

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Detalles Bibliográficos
Autores principales: Murri, Rita, Lenkowicz, Jacopo, Masciocchi, Carlotta, Iacomini, Chiara, Fantoni, Massimo, Damiani, Andrea, Marchetti, Antonio, Sergi, Paolo Domenico Angelo, Arcuri, Giovanni, Cesario, Alfredo, Patarnello, Stefano, Antonelli, Massimo, Bellantone, Rocco, Bernabei, Roberto, Boccia, Stefania, Calabresi, Paolo, Cambieri, Andrea, Cauda, Roberto, Colosimo, Cesare, Crea, Filippo, De Maria, Ruggero, De Stefano, Valerio, Franceschi, Francesco, Gasbarrini, Antonio, Parolini, Ornella, Richeldi, Luca, Sanguinetti, Maurizio, Urbani, Andrea, Zega, Maurizio, Scambia, Giovanni, Valentini, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551240/
https://www.ncbi.nlm.nih.gov/pubmed/34707184
http://dx.doi.org/10.1038/s41598-021-99905-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551240/
https://www.ncbi.nlm.nih.gov/pubmed/34707184
http://dx.doi.org/10.1038/s41598-021-99905-6

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