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Developing the high-risk drinking predictive model in Korea using the data mining technique
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데이터마이닝 기법을 활용한 한국인의 고위험 음주 예측모형 개발 연구

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Type
Academic journal
Author
Il-Su Park (위덕대학교) Jun-Tae Han (한국장학재단)
Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.28 No.6 KCI Excellent Accredited Journal
Published
2017.11
Pages
1,337 - 1,348 (12page)

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Developing the high-risk drinking predictive model in Korea using the data mining technique
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Abstract· Keywords

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In this paper, we develop the high-risk drinking predictive model in Korea using the cross-sectional data from Korea Community Health Survey (2014). We perform the logistic regression analysis, the decision tree analysis, and the neural network analysis using the data mining technique. The results of logistic regression analysis showed that men in their forties had a high risk and the risk of office workers and sales workers were high. Especially, current smokers had higher risk of high-risk drinking. Neural network analysis and logistic regression were the most significant in terms of AUROC (area under a receiver operation characteristic curve) among the three models. The high-risk drinking predictive model developed in this study and the selection method of the high-risk intensive drinking group can be the basis for providing more effective health care services such as hazardous drinking prevention education, and improvement of drinking program.
#고위험 음주 #로지스틱 회귀분석 #신경망 분석 #의사결정나무 #Decision tree #high-risk drinking #logistic regression #neural network

Contents

요약
1. 서론
2. 연구 방법
3. 연구 결과
4. 결론 및 제언
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Abstract

References (14)

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Byeon, H. (2015). Prediction modeling of high risk drinking in Korea using CRT method. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology , 5, 99-108. Casswall, S. and Thamarangsi, T. (2009). Reducing the harm from alcohol: Call to action. Lancet, 373, 2247-2257. Chavez, L. J., Williams, E. C., Lapham, G. and Bradley, K. A. (2012). Association between alcohol screening scores and alcohol related risk among female veterans affairs patients. Journal of Studies on Alcohol and Drugs, 73, 391-400. Chick, J. (1998). Alcohol health and the heart: implications for clinicians. Alcohol & Alcoholism, 33, 576-591. Chung, S. S. and Joung, K. H. (2012). Factors associated with the patterns of alcohol use in Korean adults. Korean Journal of Adult Nursing, 24, 441-453.

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