Baressi Šegota, S.; Lorencin, I.; Anđelić, N.; Musulin, J.; Štifanić, D.; Glučina, M.; Vlahinić, S.; Car, Z.
Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients. Mathematics 2022, 10, 2925.
https://doi.org/10.3390/math10162925
AMA Style
Baressi Šegota S, Lorencin I, Anđelić N, Musulin J, Štifanić D, Glučina M, Vlahinić S, Car Z.
Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients. Mathematics. 2022; 10(16):2925.
https://doi.org/10.3390/math10162925
Chicago/Turabian Style
Baressi Šegota, Sandi, Ivan Lorencin, Nikola Anđelić, Jelena Musulin, Daniel Štifanić, Matko Glučina, Saša Vlahinić, and Zlatan Car.
2022. "Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients" Mathematics 10, no. 16: 2925.
https://doi.org/10.3390/math10162925
APA Style
Baressi Šegota, S., Lorencin, I., Anđelić, N., Musulin, J., Štifanić, D., Glučina, M., Vlahinić, S., & Car, Z.
(2022). Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients. Mathematics, 10(16), 2925.
https://doi.org/10.3390/math10162925