Results
eNauka >
Results >
Using machine learning algorithms and techniques for defining the impact of affective temperament types, content search and activities on the internet on the development of problematic internet use in adolescents’ population
| Title: | Using machine learning algorithms and techniques for defining the impact of affective temperament types, content search and activities on the internet on the development of problematic internet use in adolescents’ population | Authors: | Jović, Jelena |
Issue Date: | 2024 | Publication: | Frontiers in Public Health | ISSN: | 2296-2565 Frontiers in Public Health Search Idenfier |
Type: | Article | Collation: | vol. 12 | DOI: | 10.3389/fpubh.2024.1326178 | WoS-ID: | 001235256000001 | Scopus-ID: | 2-s2.0-85194823647 | PMID: | 38827621 | PMCID: | PMC11143794 | URI: | https://enauka.gov.rs/handle/123456789/919781 | Metadata source: | (Preuzeto iz CrossRef-a) Stanimirović, Aleksandar | M-category: | 21aM21a |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.