Paper Info
Title
A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors
Abstract
cardiovascular diseases are the leading cause of death around the world. These illnesses related to the malfunction of the heart or blood vessels. The aim of this research work is to establish a fuzzy expert system (FES) for heart diseases diagnosis. This FES design based on cardiovascular risk factors and the major clinical diagnosis parameters using fuzzy logic approach. In this cardiovascular system, we proposed a decision tree based solution for the higher number of rules in order to increase the degree of efficiency. The patient's clinical data extracted from the risk factor of the atherosclerosis disease. This disease is one of specific type of coronary artery disease (CAD) that supported by Cleveland Heart Disease Database (CHDD). The medical system are tested and validated with the data from CHDD and the results show efficiency and accuracy of the developed approach.
Year
DOI
Venue
2018
10.1109/ICECOCS.2018.8610649
2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)
Keywords
DocType
ISBN
Heart diseases,artificial intelligence,fuzzy logic,medical diagnostic support systems
Conference
978-1-5386-7869-5
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Oumaima Terrada100.34
Bouchaib Cherradi232.80
Abdelhadi Raihani311.39
Omar Bouattane41110.43