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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
Copyright: © 2015 |Volume: 6 |Issue: 2 |Pages: 9
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781466678620|DOI: 10.4018/IJEHMC.2015040101
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MLA

Rashid, Umer. "ANN based Expert System to Predict Disease in Cardiac Patients at Initial Stages." IJEHMC vol.6, no.2 2015: pp.1-9. http://doi.org/10.4018/IJEHMC.2015040101

APA

Rashid, U. (2015). ANN based Expert System to Predict Disease in Cardiac Patients at Initial Stages. International Journal of E-Health and Medical Communications (IJEHMC), 6(2), 1-9. http://doi.org/10.4018/IJEHMC.2015040101

Chicago

Rashid, Umer. "ANN based Expert System to Predict Disease in Cardiac Patients at Initial Stages," International Journal of E-Health and Medical Communications (IJEHMC) 6, no.2: 1-9. http://doi.org/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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