Table 1_Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth development data (2019–2022).docx

Background<p>Internet Addiction (IA) has emerged as a critical concern, especially among school age children and adolescents, potentially stalling their physical and mental development. Our study aimed to examine the risk factors associated with IA among Chinese children and adolescents and le...

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Bibliographic Details
Main Author:	Jiahe Liu (9096353) (author)
Other Authors:	Lang Chen (74845) (author), Yuxin Chen (126718) (author), Jingsong Luo (6517541) (author), Kexin Yu (11328918) (author), Linlin Fan (603135) (author), Chan Yong (21724688) (author), Huiyu He (11637053) (author), Simei Liao (21724691) (author), Zongyuan Ge (12272975) (author), Lihua Jiang (530424) (author)
Published:	2025
Subjects:	Public Health and Health Services not elsewhere classified internet addiction adolescent and children machine learning extra random forest longitudinal study
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Table 1_Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth development data (2019–2022).docx

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