标题：Empirical Analysis of Answering How to Improve People’s Happiness in Consideration of Risk Factors: From the Perspective of General Bayesian Network
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：10
页码：189-196
DOI：10.14257/ijseia.2015.9.10.19
出版社：SERSC
摘要：In the healthcare literature, happiness has been neglected as an important research issue. However, it seems clear that happiness becomes more important in research agenda as societies grow older. It is well known that happiness is related with various kinds of factors. Therefore, managing happiness requires careful handling of a number of related factors in a very systematic and organized way. In this sense, this study proposes General Bayesian Network (GBN) approach in order to extract causal knowledge about happiness from the analysis of the related factors. By using Friends-and-Family dataset, we performed GBN-based scenario analyses to answer sophisticated questions about happiness. The empirical results showed that GBN proved to have huge potentials in handling well-ness problems in the field of health informatics.
关键词：Happiness; Smart phone log; Food consumption; General Bayesian network
