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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
| Naziv: | 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 | Autori: | Lukic, Igor; Rankovic N.; Savić, Nikola   ; Ranković D.; Popov Ž.; Vujic, Ana; Folic, Nevena |
Godina: | 2022 | ISSN: | 2227-9032 Healthcare Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 10 br. 5 str. 921-921 | DOI: | 10.3390/healthcare10050921 | WoS-ID: | 000802708600001 | Scopus-ID: | 2-s2.0-85130682287 | PMID: | 35628058 | PMCID: | PMC9141748 | URI: | https://scidar.kg.ac.rs/handle/123456789/15051 https://enauka.gov.rs/handle/123456789/570136 |
M-kategorija: | Mp kategorija će biti prikazana naknadno. |
