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http://dx.doi.org/10.7232/iems.2014.13.4.449

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)
Publication Information
Industrial Engineering and Management Systems / v.13, no.4, 2014 , pp. 449-453 More about this Journal
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.
Keywords
Hypertension Complications; Risk Prediction; Logistic Regression; LDA; CART;
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