Knowledge Discovery in Heart Dataset using Classification Techniques

Data mining plays most important role in area of research with the goal of finding meaningful information from huge amount of data. Presently, data mining techniques and tools are used by researchers in the field of healthcare, particularly for prediction of disease. The focus of this paper is use of data mining techniques on healthcare issues, benefits, application and use on healthcare domain. We have created our dataset of heart patients with 2139 instances and analysed the dataset with WEKA engine and discussed the result and conclusion. We have proposed a new classifier model in order to minimize misclassified instances with adopting Hybrid Approach. After the evaluation of proposed hybrid classifier model we found that proposed algorithm is providing accuracy about 97.66%.