COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm

Autor: Lorenzoni, Giulia, Sella, Nicolò, Boscolo, Annalisa, Azzolina, Danila, Bartolotta, Patrizia, Pasin, Laura, Pettenuzzo, Tommaso, De Cassai, Alessandro, Baratto, Fabio, Toffoletto, Fabio, De Rosa, Silvia, Fullin, Giorgio, Peta, Mario, Rosi, Paolo, Polati, Enrico, Zanella, Alberto, Grasselli, Giacomo, Pesenti, Antonio, Navalesi, Paolo, Gregori, Dario, Tocco, Martina, Pretto, Chiara, Tamburini, Enrico, Fregolent, Davide, Pirelli, Pier Francesco, Marchesin, Davide, Perona, Matteo, Franchetti, Nicola, Paolera, Michele Della, Simoni, Caterina, Falcioni, Tatiana, Tresin, Alessandra, Schiavolin, Chiara, Schiavi, Aldo, Vathi, Sonila, Sartori, Daria, Sorgato, Alice, Pistollato, Elisa, Linassi, Federico, Gianoli, Sara, Gaspari, Silvia, Gruppo, Francesco, Maggiolo, Alessandra, Giurisato, Elena, Furlani, Elisa, Calore, Alvise, Serra, Eugenio, Pittarello, Demetrio, Tiberio, Ivo, Bond, Ottavia, Michieletto, Elisa, Muraro, Luisa, Peralta, Arianna, Persona, Paolo, Petranzan, Enrico, Zarantonello, Francesco, Graziano, Alessandro, Piasentini, Eleonora, Bernardi, Lorenzo, Pianon, Roberto, Mazzon, Davide, Poole, Daniele, Badii, Flavio, Bosco, Enrico, Agostini, Moreno, Trevisiol, Paride, Farnia, Antonio, Altafini, Lorella, Calò, Mauro Antonio, Meggiolaro, Marco, Lazzari, Francesco, Martinello, Ivan, Papaccio, Francesco, di Gregorio, Guido, Bonato, Alfeo, Sgarabotto, Camilla, Montacciani, Francesco, Alessandra, Parnigotto, Gagliardi, Giuseppe, Ferraro, Gioconda, Ongaro, Luigi, Baiocchi, Marco, Danzi, Vinicio, Zanatta, Paolo, Donadello, Katia, Gottin, Leonardo, Sinigaglia, Ezio, da Ros, Alessandra, Marchiotto, Simonetta, Bassanini, Silvia, Zamperini, Massimo, Daroui, Ivan, Mosaner, Walter

Publikováno v: Journal of Anesthesia, Analgesia and Critical Care

Background Since the beginning of coronavirus disease 2019 (COVID-19), the development of predictive models has sparked relevant interest due to the initial lack of knowledge about diagnosis, treatment, and prognosis. The present study aimed at devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c5ef705f1ed01f15d7b98ed5e29a680
https://doi.org/10.1186/s44158-021-00002-x