Comparative Analysis of Heart Disease Prediction Techniques Using Association Rule Mining

Abstract

The objective of this paper is to analyse various factors that influence heart disease and provide
appropriate solution to prevent human life getting affected from the disease. Understanding the signs and
symptoms of a heart attack by predicting it in advance using various data mining techniques helps the
healthcare industry to take appropriate course of action to diagnose the disease. This field also plays an
important role in designing appropriate drugs & various therapies to ensure survival. Advanced data
mining techniques in computer technology, helps health care industry in a major way for early prediction,
disease diagnosis and prescribe appropriate medication using health data. Ensuring this fact, it is
decided to identify the best performing algorithm which can be utilized for early prediction of heart
disease.