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Method and Apparatus for Classification and Prediction of Internet Game Addiction using Decision Tree for Screening of Internet Game Addiction Adult Patients

机译:基于决策树的网络游戏成瘾患者筛查的网络游戏成瘾分类预测方法及装置

摘要

The present invention is to discover main factors that can control an adult′s internet game addiction and to early screen an Internet game addiction group based on the main factors. An Internet overdependence prediction method according to an aspect of the present invention comprises a first step of collecting a plurality of data related to a plurality of users; a second step of extracting first data related to Internet use among the plurality of collected data; a third step of extracting second data corresponding to a predetermined factor related to Internet addiction from the first data; a fourth step of creating a model for determining the Internet addiction using at least one of the second data; a fifth step of creating a plurality of models for determining the Internet addiction by repeating the first to fourth steps; a sixth step of collecting third data related to a first user among the plurality of users; a seventh step of selecting a first model to be applied to the first user among the plurality of models using the third data; and an eighth step of determining whether the first user has the Internet addiction using the first model.
机译:本发明旨在发现可以控制成年人的网络游戏成瘾的主要因素,并基于该主要因素来早期筛查网络游戏成瘾群体。根据本发明的一个方面的互联网过度依赖预测方法包括:第一步,收集与多个用户有关的多个数据;第二步骤,从多个收集的数据中提取与互联网使用有关的第一数据;第三步骤,从第一数据中提取与与网络成瘾有关的预定因素相对应的第二数据;第四步骤,创建用于使用第二数据中的至少一个确定互联网成瘾的模型;第五步骤,通过重复第一至第四步骤,创建用于确定网络成瘾的多个模型;第六步骤,在多个用户中收集与第一用户有关的第三数据;第七步骤,使用第三数据从多个模型中选择要应用于第一用户的第一模型;第八步,使用第一模型确定第一用户是否患有互联网成瘾。

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