Automated diagnosis of coronary heart disease using neuro-fuzzy integrated system

Computational intelligence combines fuzzy systems, neural network and evolutionary computing. In this paper, Neuro-fuzzy integrated system for coronary heart disease is presented. In order to show the effectiveness of the proposed system, Simulation for automated diagnosis is performed by using the...

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Bibliographic Details
Published in2011 World Congress on Information and Communication Technologies pp. 1379 - 1384
Main Authors Ansari, A. Q., Gupta, N. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Arteries
Coronary Heart Disease
Data processing
Diseases
Heart
Input variables
Mercury (metals)
Neuro-Fuzzy Integrated system
Parameter Learning
Structure learning
Training
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ISBN1467301272
9781467301275
DOI10.1109/WICT.2011.6141450

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Summary:Computational intelligence combines fuzzy systems, neural network and evolutionary computing. In this paper, Neuro-fuzzy integrated system for coronary heart disease is presented. In order to show the effectiveness of the proposed system, Simulation for automated diagnosis is performed by using the realistic causes of coronary heart disease. The results suggest that this kind of hybrid system is suitable for the identification of patients with high/low cardiac risk.
ISBN:1467301272
9781467301275
DOI:10.1109/WICT.2011.6141450