ANN based Expert System to Predict Disease in Cardiac Patients at Initial Stages

ANN based Expert System to Predict Disease in Cardiac Patients at Initial Stages

Umer Rashid (Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan)
Copyright: © 2015 |Pages: 9
DOI: 10.4018/IJEHMC.2015040101
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Abstract

Objective of this research is to develop an expert system for the preliminary investigation of cardiac abnormality in human beings. Artificial Neural Network (ANN) is judged best for the prediction of heart abnormalities in cardiac patients at initial stages. Our research is intended to employ an Artificial Intelligence (AI) technique in an automated solution, having minimum error bounds. An ANN based expert system is designed and developed, which identifies presence or absence of cardiac disease in patients by considering best practiced disease symptoms. The proposed expert system may help the clinicians in the preliminary investigation of cardiac abnormality in human beings.
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2. Employment Of Machine Learning In Cardiac Abnormality Prediction

In recent years research has been conducted to predict cardiac abnormality in patients. Existing research mainly focused towards the identification of optimal set of attributes and machines learning techniques with minimum error bounds. Now the research is focusing to investigate an automated procedure that predicts cardiac abnormality in patients. Now we give brief overview of the research in this area.

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