Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach
- سال انتشار: 1398
- محل انتشار: مجله هوش مصنوعی و داده کاوی، دوره: 7، شماره: 1
- کد COI اختصاصی: JR_JADM-7-1_005
- زبان مقاله: انگلیسی
- تعداد مشاهده: 375
نویسندگان
Industrial Engineering Department, University of Science & Technology, Tehran, Iran.
Industrial Engineering Department, University of Science & Technology, Tehran, Iran.
Industrial Engineering Department, University of Science & Technology, Tehran, Iran.
چکیده
Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors coupled with data mining knowledge. This paper presents a model developed using combined descriptive and predictive techniques of data mining that aims to aid specialists in the healthcare system to effectively predict patients with Coronary Artery Disease (CAD). To achieve this objective, some clustering and classification techniques are used. First, the number of clusters are determined using clustering indexes. Next, some types of decision tree methods and Artificial Neural Network (ANN) are applied to each cluster in order to predict CAD patients. Finally, results obtained show that the C&RT decision tree method performs best on all data used in this study with 0.074 error. All data used in this study are real and are collected from a heart clinic database.کلیدواژه ها
data mining, coronary heart disease, Clustering, Classification, decision treeاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
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