Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission.
Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study / Vezzoli, Marika; Inciardi, Riccardo Maria; Oriecuia, Chiara; Paris, Sara; Murillo, Natalia Herrera; Agostoni, Piergiuseppe; Ameri, Pietro; Bellasi, Antonio; Camporotondo, Rita; Canale, Claudia; Carubelli, Valentina; Carugo, Stefano; Catagnano, Francesco; Danzi, Giambattista; Dalla Vecchia, Laura; Giovinazzo, Stefano; Gnecchi, Massimiliano; Guazzi, Marco; Iorio, Anita; La Rovere, Maria Teresa; Leonardi, Sergio; Maccagni, Gloria; Mapelli, Massimo; Margonato, Davide; Merlo, Marco; Monzo, Luca; Mortara, Andrea; Nuzzi, Vincenzo; Pagnesi, Matteo; Piepoli, Massimo; Porto, Italo; Pozzi, Andrea; Provenzale, Giovanni; Sarullo, Filippo; Senni, Michele; Sinagra, Gianfranco; Tomasoni, Daniela; Adamo, Marianna; Volterrani, Maurizio; Maroldi, Roberto; Metra, Marco; Lombardi, Carlo Mario; Specchia, Claudia. - In: JOURNAL OF CARDIOVASCULAR MEDICINE. - ISSN 1558-2035. - ELETTRONICO. - 23:7(2022), pp. 439-446. [10.2459/JCM.0000000000001329]
Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study
Merlo, Marco;Nuzzi, Vincenzo;Sinagra, Gianfranco;
2022-01-01
Abstract
Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission.| File | Dimensione | Formato | |
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