#GAMEADDICTED: A Machine Learning Framework for Digital Game Addiction Detection and Early Intervention
This study addresses the growing concern of digital game addiction (DGA) by developing an information system for detection and early intervention, to predict an individual’s propensity toward DGA. The study employed machine learning models to process unstructured data collected from onlin...
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| Main Authors: | Esra Kahya Ozyirmidokuz, Bekir Asim Celik, Eduard Alexandru Stoica |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11075684/ |
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