A Development of Classification Model for Smartphone Addiction Recognition System Based on Smartphone Usage Data

摘要: The rapid growth of smartphone in recent years has resulted many syndromes. Most these syndromes are caused by excessive use smartphone. In addition, people who tends to excessively also likely have addiction. this paper, we presented the system architecture for e-Health system. Not only used our addiction recognition system, but pointed out important benefits architecture, which can be adopted other Later on, a development classification model recognizing likelihood having We trained based on data retrieved from subjects’ result showed that best correctly classify instance up 78%.