COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm - 2021
Giulia Lorenzoni, Nicolò Sella, Annalisa Boscolo, Danila Azzolina, Patrizia Bartolotta, Laura Pasin, Tommaso Pettenuzzo, Alessandro De Cassai, Fabio Baratto, Fabio Toffoletto, Silvia De Rosa, Giorgio Fullin, Mario Peta, Paolo Rosi, Enrico Polati, Alberto Zanella, Giacomo Grasselli, Antonio Artigas, Paolo Navalesi, Darío Gregori, Martina Tocco, Chiara Pretto, Enrico Tamburini, Davide Fregolent, Pier Francesco Pirelli, Davide Marchesin, Matteo Perona, Nicola Franchetti, Michele Della Paolera, Caterina Simoni, Tatiana Falcioni, Alessandra Tresin, Chiara Schiavolin, Aldo Schiavi, Sonila Vathi, Daria Sartori, Alice Sorgato, Elisa Pistollato, Federico Linassi, Sara Gianoli, Silvia Gaspari, Francesco Gruppo, Alessandra Maggiolo, Elena Giurisato, Elisa Furlani, Alvise Calore, Eugenio Serra, Demetrio Pittarello, Ivo Tiberio, Ottavia Bond, Elisa Michieletto, Luisa Muraro, Arianna Peralta, Paolo Persona, Enrico Petranzan, Francesco Zarantonello, Alessandro Di Graziano, E. Piasentini, Lorenzo Bernardi, Roberto Pianon, D Mazzon, Daniele Poole, Flavio Badii, Enrico Bosco, Moreno Agostini, Paride Trevisiol, Antonio Farnia, Lorella Altafini, Mauro Antonio Calò, Marco Meggiolaro, Francesco Lazzari, Ivan Martinello, Francesco Papaccio, Guido Di Gregorio, Alfeo Bonato, Camilla Sgarabotto, Francesco Montacciani, Parnigotto Alessandra, Giuseppe Gagliardi, Gioconda Ferraro, Luigi Ongaro, Marco Baiocchi, Vinicio Danzi, Paolo Zanatta, Katia Donadello, Leonardo Gottin, Ezio Sinigaglia, Alessandra Da Ros, Simonetta Marchiotto, Silvia Bassanini, Massimo Zamperini, Ivan Daroui, Walter Mosaner
Abstract 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 developing a model, through a machine learning approach, to
predict intensive care unit (ICU) mortality in COVID-19 patients based on
predefined c... hiện toàn bộ
Implementation of video-calls between patients admitted to intensive care unit during the COVID-19 pandemic and their families: a pilot study of psychological effects Tập 2 Số 1
Filippo Sanfilippo, Luigi La Via, Giovanni Schembari, Francesco Tornitore, Gabriele Zuccaro, Alberto Morgana, Maria Rita Valenti, Francesco Oliveri, Federico Pappalardo, Marinella Astuto, Cesare Cassisi, Alfio Castro, Sergio Cocimano, Fabio Criscione, Carmela Cutuli, Veronica Dezio, Giuseppe Fallico, Monica Leonardi, Marta Mascari, A. Paratore, Francesco Perna, Milena Pulvirenti, Eleonora Tringali, Francesco Vasile, Maria Teresa Agnello, Giuseppe Sanfilippo, Simone Messina, Federica Merola
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has caused
over 530 million infections to date (June 2022), with a high percentage of
intensive care unit (ICU) admissions. In this context, relatives have been
restricted from visiting their loved ones admitted to hospital. This situation
has led to an inevitable separation between patients and their families. Video
communicatio... hiện toàn bộ