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Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergency

The aim of this study was to estimate a 48 hour prediction of moderate...

Ferrari D, Milic J, Tonelli R, Ghinelli F, Meschiari M, Volpi S, Faltoni M, Franceschi G, Iadisernia V, Yaacoub D, Ciusa G, Bacca E, Rogati C, Tutone M, Burastero G, Raimondi A, Menozzi M, Franceschini E, Cuomo G, Corradi L, Orlando G, Santoro A, Digaetano M, Puzzolante C, Carli F, Borghi V, Bedini A, Fantini R, Tabbì L, Castaniere I, Busani S, Clini E, Girardis M, Sarti M, Cossarizza A, Mussini C, Mandreoli F, Missier P, Guaraldi G. Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency. PLoS One. 2020 Nov 12;15(11):e0239172. doi: 10.1371/journal.pone.0239172. PMID: 33180787; PMCID: PMC7660476.