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标题：Performance of Decision Trees for Assessment of the Risk Factors of Heart Disease
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作者：DR.K.P.KALIYAMURTHIE ; D.PARAMESWARI
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：5
出版社：S&S Publications
摘要：Coronary heart disease refers to the failure of coronary circulation to supply adequate circulation tocardiac muscle and surrounding tissue. The events myocardial infarction (MI), percutaneous coronary intervention(PCI), and coronary artery bypass graft surgery (CABG) were investigated The risk factors investigated were: 1)before the event: a) no modifiable—age, sex, and family history for premature CHD, b) modifiable—smoking beforethe event, history of hypertension, and history of diabetes; and 2) after the event: modifiable—smoking after the event,systolic blood pressure, diastolic blood pressure, total cholesterol, high- density lipoprotein, low-density lipoprotein,triglycerides, and glucose.. Data-mining analysis was carried out using the C5 decision tree algorithm for theaforementioned three events using five different splitting criteria. C4.5 is a widely-used free data mining tool that isdescended from an earlier system called ID3 and is followed in turn by C5.0. It embodies new algorithms for generatingrule sets, and the improvement is dramatic in accuracy, speed and memory.
关键词：Coronary Heart Disease (CHD); data mining; decession trees; risk factors