JSAI2024

Presentation information

General Session

General Session » GS-11 AI and Society

[1C5-GS-11] AI and Society:

Tue. May 28, 2024 5:00 PM - 6:40 PM Room C (Temporary room 1)

座長:Lim Dongwoo(津田塾大学)

5:20 PM - 5:40 PM

[1C5-GS-11-02] A Predictive Model of Individual Vitality Using a Bayesian Network

〇Hiroka Hosoi1, Eiichi Sakurai1 (1. National Institute of Advanced Industrial Science and Technology)

Keywords:Bayesian Network

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.

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