Udriștoiu, A.L.; Ghenea, A.E.; Udriștoiu, Ș.; Neaga, M.; Zlatian, O.M.; Vasile, C.M.; Popescu, M.; Țieranu, E.N.; Salan, A.-I.; Turcu, A.A.;
et al. COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis. Life 2021, 11, 1281.
https://doi.org/10.3390/life11111281
AMA Style
Udriștoiu AL, Ghenea AE, Udriștoiu Ș, Neaga M, Zlatian OM, Vasile CM, Popescu M, Țieranu EN, Salan A-I, Turcu AA,
et al. COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis. Life. 2021; 11(11):1281.
https://doi.org/10.3390/life11111281
Chicago/Turabian Style
Udriștoiu, Anca Loredana, Alice Elena Ghenea, Ștefan Udriștoiu, Manuela Neaga, Ovidiu Mircea Zlatian, Corina Maria Vasile, Mihaela Popescu, Eugen Nicolae Țieranu, Alex-Ioan Salan, Adina Andreea Turcu,
and et al. 2021. "COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis" Life 11, no. 11: 1281.
https://doi.org/10.3390/life11111281
APA Style
Udriștoiu, A. L., Ghenea, A. E., Udriștoiu, Ș., Neaga, M., Zlatian, O. M., Vasile, C. M., Popescu, M., Țieranu, E. N., Salan, A. -I., Turcu, A. A., Nicolosu, D., Calina, D., & Cioboata, R.
(2021). COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis. Life, 11(11), 1281.
https://doi.org/10.3390/life11111281