Resolution of Heart Disease Prevision System
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Abstract
In our day to day life, we can see that number of heart disease patients keep on increasing but heart disease prediction methods are
limited. Resolution of Heart Disease Prevision System (RHDPS) is used to discover hidden patterns of information for the doctors in making
their decisions accurately. Our system initiates by gathering the patients details like age, sex, ECG results, cholesterol level, BP, etc. and updates
it regularly. To analyze the various hidden patterns we apply the data mining algorithms like regression analysis, clustering methods and
association in an comparative nature. Our system finally predicts the possibility of heart disease very quickly and easily. The system is
implemented and tested on java platform.
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Keywords: Data mining, Clustering, Association Rules, Prediction, AprioriHybrid.
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