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Multi Parametric Approach Using Fuzzification on Heart Disease Analysis.

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 5)

Publication Date:

Authors : ; ;

Page : 492-497

Keywords : Fuzzy System; Heart Disease; Operator; Dataset; Data Mining; and Prediction based.;

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The aim of this study is to define a fuzzy based prediction system that will accept the patient basic information as well as the symptoms as input and identify the chances of heart disease. Heart Disease Prediction System is the system that helps to predict the heart disease mainly cardiovascular. The importance of heart disease prediction system can be visualized from the fact that heart disease is one of the diseases that causes highest mortality rate. The present system helps in diagnosis of heart disease effectively and reduces the overall cost. Various techniques like Artificial Neural Network, Naïve Bayes etc can be used to implement this system .Data Mining operations is the improvement over the statistical methods that enables a user to perform the future analysis. A Fuzzy based soft computing approach is been implemented on multiple parameters to predict the heart disease. In this paper, a fuzzy database management system is introduced to diagnose the severity of the heart disease of a patient by using existing data in the common database systems. Crisp values are transformed into fuzzy values through the fuzzification and Transformation of fuzzy set into crisp values is called Defuzzification.

Last modified: 2014-06-05 19:54:55