Andrade, E.C.d.; Pinheiro, P.R.; Barros, A.L.B.d.P.; Nunes, L.C.; Pinheiro, L.I.C.C.; Pinheiro, P.G.C.D.; Holanda Filho, R.
Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19. Appl. Sci. 2022, 12, 8939.
https://doi.org/10.3390/app12188939
AMA Style
Andrade ECd, Pinheiro PR, Barros ALBdP, Nunes LC, Pinheiro LICC, Pinheiro PGCD, Holanda Filho R.
Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19. Applied Sciences. 2022; 12(18):8939.
https://doi.org/10.3390/app12188939
Chicago/Turabian Style
Andrade, Evandro Carvalho de, Plácido Rogerio Pinheiro, Ana Luiza Bessa de Paula Barros, Luciano Comin Nunes, Luana Ibiapina C. C. Pinheiro, Pedro Gabriel CalÃope Dantas Pinheiro, and Raimir Holanda Filho.
2022. "Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19" Applied Sciences 12, no. 18: 8939.
https://doi.org/10.3390/app12188939
APA Style
Andrade, E. C. d., Pinheiro, P. R., Barros, A. L. B. d. P., Nunes, L. C., Pinheiro, L. I. C. C., Pinheiro, P. G. C. D., & Holanda Filho, R.
(2022). Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19. Applied Sciences, 12(18), 8939.
https://doi.org/10.3390/app12188939