Methodologies and Techniques for Heart Disease Classification and Prediction

Abstract

Heart disease is one of the most common reasons of increased mortality rate in the world. The term heart disease refers to disease of heart & blood vessel system within it. Heart disease prediction at a premature phase is a critical challenge in the area of clinical data analysis. Nowadays appropriate decision support systems are being used by many hospitals that results in minimizing the cost of clinical tests ultimately. The objective of this paper is to explore and analyze the different techniques and methodologies for classifying the heart diseases which gives better results in terms of evaluation parameters viz. accuracy and performance.

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