Application of machine learning in predicting adolescent Internet behavioral addiction

Application of machine learning in predicting adolescent Internet behavioral addiction

ObjectiveTo explore the risk factors affecting adolescents’ Internet addiction behavior and build a prediction model for adolescents’ Internet addiction behavior based on machine learning algorithms.MethodsA total of 4461 high school students in Chongqing were selected using stratified cluster sampl...

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Bibliographic Details
Main Authors: Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Psychiatry
Subjects:
machine learning
adolescent
internet behavior addiction
risk factors
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1521051/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1521051/full

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