A Predictive Model of Individual Vitality Using a Bayesian Network

Abstract

Today, more and more people are placing greater importance on improving their own well-being than on pursuing economic gain. Therefore, it has become necessary to take measures to improve the well-being of each individual. In order to achieve this improvement efficiently, it is important to clarify the relationship between the measures and their effects on well-being and the preferred relationship between individuals and their measure. In this paper, using questionnaire data, we analyzed which measures would be necessary for each individual by creating a model that predicts a future decline in the individual's vitality. By a model using a Bayesian network, we showed that a decrease in the frequency of going out and walking speed had an impact on the decrease in vitality.