A NOVEL TECHNIQUE TO PREDICT HEART DISEASES USING DATA MINING

Volume: 2    Issue: 7

Year of Publication: 2015

Pages: (10-14)

Authors: Divya Kundra, Er. Navpreet Kaur

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Abstract

Data mining is the process of analyzing large sets of data and then extracting the meaning of the data. It helps in predicting future trends and patterns, allowing business in decision making. Data mining applications can answer business questions that take much time to resolve traditionally. Large amount of data which is generated for the prediction of heart disease is analyzed traditionally and is too complicated and voluminous to be processed. Data mining provides the techniques and methods for the transformation of data into useful information for decision making. These techniques make the process fast and it takes less time for the prediction system to predict the heart disease with more accuracy. In this paper we survey different papers in which one or more algorithms of data mining used for the prediction of heart disease. Result from using neural networks is 99.62% in one paper [6].By Applying data mining techniques to heart disease data which needs to be processed, we can get effective results and achieve reliable performance which will help in decision making in healthcare industry.

References

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Keywords

Heart disease ,data mining, data mining techniques, data mining tools, data mining applications, methodology.