高齢者の生活行動推論のための大規模アンケートデータを用いた確率的潜在意味構造モデル構築

抄録

In Japan, there are many social problems caused by super-aged society. So we need to resolve these problems by using ICT. In addition, it is also necessary to actively use of big data in healthcare. In this study, we analyzed the elderly questionnaire to investigate relations between activity and subjective happiness level in this analysis. We used probabilistic Latent Semantic Analysis and Bayesian network. We found variables related to elderly heterogeneity and behavioral character. These findings make it possible to simulate elderly's activity and provide new insight into elderly's subjective level of happiness.