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Method for predicting smartphone overdependence based on comorbid psychiatric symptoms

机译:基于合并精神病症状的智能手机过度依赖预测方法

摘要

The present invention relates to a method for predicting smartphone over-dependence based on coorbid psychiatric symptoms, and the method for predicting smartphone over-dependence based on coorbid psychiatric symptoms is normal to a smartphone dependent group. Selecting a smartphone-dependent predictor variable for an adult through a decision tree by processing a plurality of input variables including demographic and psychological factors for the group; Determining whether to depend on the smartphone through a decision tree using the selected predictor as an input variable; And classifying the smartphone usage in question through a decision tree into five types of smartphone dependency dependence, and calculating a smartphone dependency dependency risk. According to the present invention, by identifying the type of overuse of the smart phone, it can be used to develop an appropriate service for controlling adult overuse or preventing overuse. In addition, by predicting the type of smartphone overuse, it can be usefully used to develop an effective treatment for smartphone addiction due to smartphone overuse.
机译:基于共病的精神病症状的预测智能手机过度依赖的方法技术领域本发明涉及基于共病的精神病症状的预测智能手机过度依赖的方法,并且基于共病的精神病症状的预测智能手机过度依赖的方法对于智能手机依赖组是正常的。通过处理包括该群体的人口统计和心理因素在内的多个输入变量,通过决策树为成年人选择与智能手机相关的预测变量;使用选择的预测变量作为输入变量,通过决策树确定是否依赖智能手机;然后,通过决策树将有问题的智能手机使用情况分类为五种类型的智能手机依赖关系,并计算智能手机依赖关系风险。根据本发明,通过识别智能电话的过度使用的类型,可以将其用于开发用于控制成人过度使用或防止过度使用的适当服务。另外,通过预测智能手机过度使用的类型,它可以有效地用于开发针对因智能手机过度使用而导致的智能手机成瘾的有效治疗方法。

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