Classifying Internet Addiction Using Machine Learning Approach: A Study Among Adolescents in Bangladesh

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Authors

Akher Ali · Jahangirnagar University

M. S. Hosain · University of Chittagong

Md Abu Bakkar Siddik · United States Department of Justice

Mahedi Hasan · Texas Tech University

Md. Ahashan Habib · Jahangirnagar University

Mohammad Alamgir Kabir · Jahangirnagar University

Mohammad Mizanur Rahman

Abstract

Raising awareness among adolescents and their parents is crucial because IA is frequent. The ML framework can identify significant prognostic indicators and classify this IA problem more accurately, helping policymakers, stakeholders, and families understand and prevent this crisis by improving policy-making strategies and counseling services.

Topics & Keywords

Impact of Technology on Adolescents Digital Mental Health Interventions Diverse Scientific Research Studies

Publication Details

Published in: Public Health Challenges

Volume 4, Issue 4, pp. e70165-e70165

DOI: 10.1002/puh2.70165

Field-Weighted Citation Impact: 0.00

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Classifying Internet Addiction Using Machine Learning Approach: A Study Among Adolescents in Bangladesh

Authors

Abstract

Topics & Keywords

Publication Details