Data Mining Model Approach for The Risk Factor of BMI - By Medical Examination of Health Data - Lee Jea-Young; Lee Yong-Won;
The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 35,671 people. Whole data were assorted by BMI score and divided into two groups. We tried to find out BMI risk factor from overweight group by analyzing the raw data with data mining approach. The result extracted by C5.0 decision tree method showed that important risk factors for BMI score are triglyceride, gender, age and HDL cholesterol. Odds ratio of major risk factors were calculated to show individual effect of each factors.
Development of Diagnostic System for FHR Monitering by Using Neural Networks,Cha Kyung-Joon;Park Moon-Il;Oh Jae-Eung;Han Hyun-Ju;Lee Hae-Jin;Park Young-Sun;
Communications for Statistical Applications and Methods, 2006. vol.13. 1, pp.73-88
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