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분야
의약학 > 예방의학및보건학
저자
이애경 ( Ae Kyung Lee ) , 박일수 ( Il Su Park ) , 강성홍 ( Seoung Hong Kang ) , 강현철 ( Hyn Chul Kang )
발행기관
한국보건행정학회
간행물정보
보건행정학회지 2006년, 제16권 제2호, 21~48페이지(총28페이지)
파일형식
2c300128.pdf [무료 PDF 뷰어 다운로드]
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    영문초록
    As prior studies indicate that chronic diseases are mainly attributed to health behavior, preventive health care rather than treatment for illness needs to improve health status. Since chronic conditions require long-term therapy, health care expenditures to treat chronic diseases have been substantial burden at national level. In this point of view, this study suggests that the health promotion program should be based on Knowledge Based System. Using Data Mining Technique, we developed a predictive model for preventive healthcare management on diabetes mellitus. Generally, in the outbreak of diabetes mellitus there is a difference in lifestyle and the risk factors according to gender. So we developed a predictive model in accordance with gender difference and applied the Logistic Regression Model based on Data Mining process. The results of the study were as follow. The lift of the last predictive model was an average 2.23 times(male model: 2.13, female model 2.33) more improved than in the random model in upper 10% group. The health risk factors of diabetes mellitus are gender, age, a place of residence, blood pressure, glucose, smoking, drinking, exercise rate. On the basis of these factors, we suggest the program of the health promotion.
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