Industrial Engineering and Management Systems

Korean Institute of Industrial Engineers (대한산업공학회)
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Prediction of Hypertension Complications Risk Using Classification Techniques

  • Lee, Wonji (Department of Industrial and Management Engineering, POSTECH) ;
  • Lee, Junghye (Department of Industrial and Management Engineering, POSTECH) ;
  • Lee, Hyeseon (Department of Industrial and Management Engineering, POSTECH) ;
  • Jun, Chi-Hyuck (Department of Industrial and Management Engineering, POSTECH) ;
  • Park, Il-Su (Department of Health, Uiduk University) ;
  • Kang, Sung-Hong (Department of Health Policy and Management, Inje University)
  • Received : 2014.11.07
  • Accepted : 2014.11.25
  • Published : 2014.12.30
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Abstract

Chronic diseases including hypertension and its complications are major sources causing the national medical expenditures to increase. We aim to predict the risk of hypertension complications for hypertension patients, using the sample national healthcare database established by Korean National Health Insurance Corporation. We apply classification techniques, such as logistic regression, linear discriminant analysis, and classification and regression tree to predict the hypertension complication onset event for each patient. The performance of these three methods is compared in terms of accuracy, sensitivity and specificity. The result shows that these methods seem to perform similarly although the logistic regression performs marginally better than the others.

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References

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