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http://dx.doi.org/10.6109/jkiice.2018.22.6.835

An Analysis of Factors Affecting Quality of Life through the Analysis of Public Health Big Data  

Kim, Min-kyoung (Department of Research & Development Center, SONOUM Inc)
Cho, Young-bok (Department of Computer & Information Security, Daejeon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.6, 2018 , pp. 835-841 More about this Journal
Abstract
In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.
Keywords
Public Medical Big Data; Quality of life; ANOVA Analysis; Multi-level Regression Analysis; Hadoop Spack;
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