Prediction of Heart Disease Using Classification Based Data Mining Techniques

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 32)

Abstract

Data Mining is an interesting field of research whose major objective is to find interesting and useful patterns from huge data sets. These patterns can be further used to make important decisions based on the result of the analysis. Healthcare industry today generates huge amount of data on a day to day basis. This data has to be analysed and hidden and meaningful patterns can be discovered. Data mining plays a promising and significant role in this aspect. Data Mining techniques can be used for disease prediction. In this research, the classification based data mining techniques are applied to healthcare data. This research focuses on the prediction of heart disease using three classification techniques namely Decision Trees, Naïve Bayes and K Nearest Neighbour.

Keywords

Data mining Classification technique Heart disease Healthcare Decision tree Naïve bayes K-Nearest neighbor Dataset 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNitte Meenakshi Institute of TechnologyBangaloreIndia
  2. 2.Department of Information Science and EngineeringM. S. Ramaiah Institute of TechnologyBangaloreIndia

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