Abstract

The purpose of this study is to investigate the effect of personal factors and community factors on the quality of life based on the presence of chronic diseases based on the Big Data Platform. The research methodology was the matching of the 2017 Community Health Survey data and the National Statistical Office data to the health center units. In the study, The higher the age, the higher the education level, the higher the monthly household income, the economic activity, the spouse, the higher the quality of life. In the case of community factors, the lower the population density, the lower the elderly population ratio, the more doctors engaged in medical institutions, the higher the financial independence, the higher the quality of life.

Keywords

• Chronic disease;
• Quality of Life;
• Multi-level Regression Analysis;
• Gig Date

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Acknowledgement

Grant : Development of Prediction and Diagnosis System for Pediatric Adolescents Using Iris based Image Mining

Supported by : CHUNGBUK TECHNOPARK