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

D. Ferrari; J. Milic; R. Tonelli; F. Ghinelli; M. Meschiari; S. Volpi; M. Faltoni; G. Franceschi; V. Iadisernia; D. Yaacoub; G. Ciusa; E. Bacca; C. Rogati; M. Tutone; G. Burastero; A. Raimondi; M. Menozzi; E. Franceschini; G. Cuomo; L. Corradi; G. Orlando; A. Santoro; M. Digaetano; C. Puzzolante; F. Carli; V. Borghi; A. Bedini; R. Fantini; L. Tabbì; I. Castaniere; S. Busani; E. Clini; M. Girardis; M. Sarti; A. Cossarizza; C. Mussini; F. Mandreoli; P. Missier; G. Guaraldi

doi:10.1371/journal.pone.0239172

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

D. Ferrari, J. Milic, R. Tonelli, F. Ghinelli, M. Meschiari, S. Volpi, M. Faltoni, G. Franceschi, V. Iadisernia, D. Yaacoub, G. Ciusa, E. Bacca, C. Rogati, M. Tutone, G. Burastero, A. Raimondi, M. Menozzi, E. Franceschini, G. Cuomo, L. CorradiG. Orlando, A. Santoro, M. Digaetano, C. Puzzolante, F. Carli, V. Borghi, A. Bedini, R. Fantini, L. Tabbì, I. Castaniere, S. Busani, E. Clini, M. Girardis, M. Sarti, A. Cossarizza, C. Mussini, F. Mandreoli, P. Missier, G. Guaraldi

Computer Science

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	PLoS ONE
DOIs	https://doi.org/10.1371/journal.pone.0239172
Publication status	Published - 2020

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10.1371/journal.pone.0239172

Cite this

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., ... Guaraldi, G. (2020). Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia —Challenges, strengths, and opportunities in a global health emergency. PLoS ONE. https://doi.org/10.1371/journal.pone.0239172

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title = "Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia —Challenges, strengths, and opportunities in a global health emergency",

author = "D. Ferrari and J. Milic and R. Tonelli and F. Ghinelli and M. Meschiari and S. Volpi and M. Faltoni and G. Franceschi and V. Iadisernia and D. Yaacoub and G. Ciusa and E. Bacca and C. Rogati and M. Tutone and G. Burastero and A. Raimondi and M. Menozzi and E. Franceschini and G. Cuomo and L. Corradi and G. Orlando and A. Santoro and M. Digaetano and C. Puzzolante and F. Carli and V. Borghi and A. Bedini and R. Fantini and L. Tabb{\`i} and I. Castaniere and S. Busani and E. Clini and M. Girardis and M. Sarti and A. Cossarizza and C. Mussini and F. Mandreoli and P. Missier and G. Guaraldi",

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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 2020, 'Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia —Challenges, strengths, and opportunities in a global health emergency', PLoS ONE. https://doi.org/10.1371/journal.pone.0239172

TY - JOUR

T1 - Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia —Challenges, strengths, and opportunities in a global health emergency

AU - Ferrari, D.

AU - Milic, J.

AU - Tonelli, R.

AU - Ghinelli, F.

AU - Meschiari, M.

AU - Volpi, S.

AU - Faltoni, M.

AU - Franceschi, G.

AU - Iadisernia, V.

AU - Yaacoub, D.

AU - Ciusa, G.

AU - Bacca, E.

AU - Rogati, C.

AU - Tutone, M.

AU - Burastero, G.

AU - Raimondi, A.

AU - Menozzi, M.

AU - Franceschini, E.

AU - Cuomo, G.

AU - Corradi, L.

AU - Orlando, G.

AU - Santoro, A.

AU - Digaetano, M.

AU - Puzzolante, C.

AU - Carli, F.

AU - Borghi, V.

AU - Bedini, A.

AU - Fantini, R.

AU - Tabbì, L.

AU - Castaniere, I.

AU - Busani, S.

AU - Clini, E.

AU - Girardis, M.

AU - Sarti, M.

AU - Cossarizza, A.

AU - Mussini, C.

AU - Mandreoli, F.

AU - Missier, P.

AU - Guaraldi, G.

PY - 2020

Y1 - 2020

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U2 - 10.1371/journal.pone.0239172

DO - 10.1371/journal.pone.0239172

M3 - Article

SN - 1932-6203

JO - PLoS ONE

JF - PLoS ONE

ER -