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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Detalhes bibliográficos
Publicado no:J Pers Med
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8230339/
https://ncbi.nlm.nih.gov/pubmed/34204911
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm11060501
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