期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2013
卷号：2
期号：9
页码：2663-2671
出版社：IJECS
摘要：Cardiovascular disease remains the biggest cause of deaths worldwide and the Heart Disease Prediction at the earlystage is importance. As large amount of data is generated in medical organizations (hospitals, medical centers) but as this data isnot properly used. There is a wealth of hidden information present in the datasets. This unused data can be converted into usefuldata. For this purpose we can use different data mining techniques. In this paper, we have defined a two layered approach foridentifying the disease possibility. The critical factors that are mandatory for occurrence of coronary heart disease are taken atfirst level and the rest one are taken at second level. This two level approach increases the performance of our work as it helps inpredicting disease chances accurately. The heart disease dataset is taken from UCI machine learning repository to train the neuralnetwork and then fuzzy rules are applied to predict the chances of coronary heart disease as low, medium or critical
关键词：Data mining; Neuro-fuzzy; Heart disease and Coronary Heart Disease; Back-propagation;Algorithm
