A Study of Heart Disease Prediction in Data Mining

The data mining techniques can extract the hidden information from the large databases. It helps to find the relationships and patterns from the data. Data mining is used for various applications such as business organizations, e-commerce, health care industry, scientific and engineering. In the health care industry the data mining is mainly used for predicting the diseases from the datasets. In this survey paper, we have studied and analyzed how data mining techniques such as classification, clustering, fuzzy system and association rules are used for predicting the heart diseases. This paper also gives the advantages and disadvantages of the existing techniques. It also discusses the future enhancements of the existing works.