DocumentCode
3184618
Title
Automated diagnosis of coronary heart disease using neuro-fuzzy integrated system
Author
Ansari, A.Q. ; Gupta, Neeraj Kumar
Author_Institution
Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
fYear
2011
fDate
11-14 Dec. 2011
Firstpage
1379
Lastpage
1384
Abstract
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.
Keywords
cardiology; diseases; fuzzy systems; medical diagnostic computing; neural nets; patient diagnosis; cardiac risk; computational intelligence; coronary heart disease automated diagnosis; evolutionary computing; neural network; neuro-fuzzy integrated system; patient identification; Arteries; Data processing; Diseases; Heart; Input variables; Mercury (metals); Training; Coronary Heart Disease; Neuro-Fuzzy Integrated system; Parameter Learning; Structure learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies (WICT), 2011 World Congress on
Conference_Location
Mumbai
Print_ISBN
978-1-4673-0127-5
Type
conf
DOI
10.1109/WICT.2011.6141450
Filename
6141450
Link To Document