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Evaluation of Prevention and Treatment Paths of Digital Empowerment of Teenagers' Internet Addiction

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  • Chen Hua

    (Guangxi University of Information Engineering, Logistics, and Security Department, China)

  • Likun Wei

    (Guangxi University of Information Engineering, Logistics, and Security Department, China)

Abstract

Teenagers' internet addiction is beginning at younger ages and becoming more covert.. In this study, a closed-loop model of technical empowerment–cognitive adjustment–behavior correction was constructed, and 302 junior high school students were subjected to digital intervention for 10 weeks. Based on mobile phone logs and physiological and behavioral data, combined with the entropy weight method and Long Short-Term Memory (LSTM) model, dynamic risk early warning and personalized task push are realized. Results show the intervention group's internet addiction score decreased by 26%, self-efficacy increased by 17%, average daily screen time decreased by 37 minutes, and task completion rate exceeded 80%. Prompting frequency is positively related to the effect, and the class environment has a regulating effect. The research conforms to ethical norms, indicating that integration of mathematics and intelligence can achieve accurate and continuous intervention and provide a replicable and scalable practical path for cooperative prevention and control between home and school.

Suggested Citation

  • Chen Hua & Likun Wei, 2026. "Evaluation of Prevention and Treatment Paths of Digital Empowerment of Teenagers' Internet Addiction," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 21(1), pages 1-17, January.
    • Handle: RePEc:igg:jhisi0:v:21:y:2026:i:1:p:1-17
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