Lukić, I.; Ranković, N.; Savić, N.; Ranković, D.; Popov, Ž.; Vujić, A.; Folić, N.
A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm. Healthcare 2022, 10, 921.
https://doi.org/10.3390/healthcare10050921
AMA Style
Lukić I, Ranković N, Savić N, Ranković D, Popov Ž, Vujić A, Folić N.
A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm. Healthcare. 2022; 10(5):921.
https://doi.org/10.3390/healthcare10050921
Chicago/Turabian Style
Lukić, Igor, Nevena Ranković, Nikola Savić, Dragica Ranković, Željko Popov, Ana Vujić, and Nevena Folić.
2022. "A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm" Healthcare 10, no. 5: 921.
https://doi.org/10.3390/healthcare10050921
APA Style
Lukić, I., Ranković, N., Savić, N., Ranković, D., Popov, Ž., Vujić, A., & Folić, N.
(2022). A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm. Healthcare, 10(5), 921.
https://doi.org/10.3390/healthcare10050921
