A Study on the Medical and Healthcare Consciousness : Centred around 2019 Gyeongsangnam-Do Social Survey

• 발행기관: 한국자료분석학회
• 저자명: Kwang Hyun Cho Ji Won Kim Hee Chang Park
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.22 No.6, 2237~2250쪽, 전체 14쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2020.12.30

영문 초록

In adapting to this contemporary era of rapid and continuous change, government agencies and the local governments have been conducting multiple social surveys to identify the degree of societal consciousness regarding the quality of life of local residents. In the case of Gyeongsangnam-Do, social surveys are conducted on an annual basis, with the survey questionnaire being altered and renewed every 2 years to allow for flexible variations according to the modified research objectives. The primary objective of the 2019 Gyeongsangnam-Do social survey was to identify the level of societal consciousness regarding individual health status, and the aim of this particular study is to explore and suggest how standard statistical analysis, data mining and sequential data mining can be applied to analyse the data obtained from the 2019 Gyeonsangnam-Do social survey. We believe that the methods suggested in this study will be able to provide significant assistance in identifying the level of current local health consciousness, as well as in the development of policies surrounding community health and welfare. The different methods suggested in this study can also be applied in analysing the data extracted from social surveys conducted by other various local government agencies.

목차

1. Introduction

2. Research method

3. Analysis of the results

4. Conclusion

References

키워드

association rule data mining decision tree k-means clustering social survey