Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

Pulmonary parenchymal and vascular damage are frequently reported in COVID-19 patients and can be assessed with unenhanced chest computed tomography (CT), widely used as a triaging exam. Integrating clinical data, chest CT features, and CT-derived vascular metrics, we aimed to build a predictive mod...

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Detalles Bibliográficos
Autores principales: Schiaffino, Simone, Codari, Marina, Cozzi, Andrea, Albano, Domenico, Alì, Marco, Arioli, Roberto, Avola, Emanuele, Bnà, Claudio, Cariati, Maurizio, Carriero, Serena, Cressoni, Massimo, Danna, Pietro S. C., Della Pepa, Gianmarco, Di Leo, Giovanni, Dolci, Francesco, Falaschi, Zeno, Flor, Nicola, Foà, Riccardo A., Gitto, Salvatore, Leati, Giovanni, Magni, Veronica, Malavazos, Alexis E., Mauri, Giovanni, Messina, Carmelo, Monfardini, Lorenzo, Paschè, Alessio, Pesapane, Filippo, Sconfienza, Luca M., Secchi, Francesco, Segalini, Edoardo, Spinazzola, Angelo, Tombini, Valeria, Tresoldi, Silvia, Vanzulli, Angelo, Vicentin, Ilaria, Zagaria, Domenico, Fleischmann, Dominik, Sardanelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230339/
https://www.ncbi.nlm.nih.gov/pubmed/34204911
http://dx.doi.org/10.3390/jpm11060501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230339/
https://www.ncbi.nlm.nih.gov/pubmed/34204911
http://dx.doi.org/10.3390/jpm11060501

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