Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Data Mining Model Analysis for The Risk Factor of Hypertension - By Medical Examination of Health Data -

  • Lee, Jea-Young (Department of Mathematics and Statistics, Yeungnam University) ;
  • SaKong, Joon (Department of Preventive medicine & Public Health, Yeungnam University College of Medicine) ;
  • Lee, Yong-Won (Research fellow, Institute of Medical Science, Yeungnam University)
  • Published : 2005.08.31
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Abstract

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 39,900 people. Whole data were separated by gender first and divided into three groups, including normal, stage 1 hypertension, and stage 2 hypertension. The data from each group were analyzed with data mining technique. Based on the result that we have extracted with this data mining technique, major risk factors for the hypertension are age, BMI score, family history.

Keywords

References

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