期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：12
页码：4232-4235
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The diagnosis of heart disease from various sympto ms is a major issue which is not free from false presumptions. The healthcare industry gathers large amount of heart disease data that is not mined to determine the useful information for effective decision making by healthcare practitioners. The effort to utilize knowledge a nd experience of specialists and data of patients collected in database is a valuable option .Data Mining using a variety of techniques for decision ma king knowledge in the database and extracting these in a way that they can use in areas such as decision support, predictions, estimation. This research will provide an intelligent heart disease prediction system (IHDPS) able to help a physician as w ell as a health care system. In this research, the efficiency of heart disease system will enhance using if then else rules classification, fuzzy c means clustering and genetic algorithm. Various parameters like accuracy, time, specificity and sensitivity are calculated. The proposed algorithm provides better accuracy as compared to traditional algorithms.
关键词：Data Mining; Disease Diagnosis; Heart Disease; ; classification using if then else rules; Fuzzy c means ; clustering; genetic algorithm
