Musulin, J.; Baressi Šegota, S.; Štifanić, D.; Lorencin, I.; Anđelić, N.; Šušteršič, T.; Blagojević, A.; Filipović, N.; Ćabov, T.; Markova-Car, E.
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. Int. J. Environ. Res. Public Health 2021, 18, 4287.
https://doi.org/10.3390/ijerph18084287
AMA Style
Musulin J, Baressi Šegota S, Štifanić D, Lorencin I, Anđelić N, Šušteršič T, Blagojević A, Filipović N, Ćabov T, Markova-Car E.
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health. 2021; 18(8):4287.
https://doi.org/10.3390/ijerph18084287
Chicago/Turabian Style
Musulin, Jelena, Sandi Baressi Šegota, Daniel Štifanić, Ivan Lorencin, Nikola Anđelić, Tijana Šušteršič, Anđela Blagojević, Nenad Filipović, Tomislav Ćabov, and Elitza Markova-Car.
2021. "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review" International Journal of Environmental Research and Public Health 18, no. 8: 4287.
https://doi.org/10.3390/ijerph18084287
APA Style
Musulin, J., Baressi Šegota, S., Štifanić, D., Lorencin, I., Anđelić, N., Šušteršič, T., Blagojević, A., Filipović, N., Ćabov, T., & Markova-Car, E.
(2021). Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health, 18(8), 4287.
https://doi.org/10.3390/ijerph18084287
