文章基本信息

标题：Detection of Cardiac Disease using Data Mining Classification Techniques
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作者：Abdul Aziz ; Aziz Ur Rehman
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2017
卷号：8
期号：7
DOI：10.14569/IJACSA.2017.080734
出版社：Science and Information Society (SAI)
摘要：Cardiac Disease (CD) is one of the major causes of death. An important task is to identify the Cardiac disease very minutely and precisely. Generally medical diagnostic errors are dangerous and costly. Worldwide they are leading to deaths. Data mining techniques are very important to minimize the diagnostic errors as well as to improve the patient’s safety. Data mining techniques are very effective in designing a medical support system and enrich ability to determine the unseen patterns and associations in clinical data. In this paper, the application of classification technique, decision tree for the detection of heart disease have been introduced. Classification tree uses many factors including age, blood sugar and blood pressure; it can detect the probability of patients fallen in CD by using fewer diagnostic tests which save time and money.
关键词：Cardiac disease; classification technique; decision tree; knowledge discovery