The application of GA-BP algorithm to intelligent diagnosis of coronary heart disease

Author

Ming, Liu ; Yan-Chun, Liang ; Xin-Min, Wang ; Xiao-gang, Dong

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China

Volume

4

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

367

Lastpage

370

Abstract

A hybrid computational intelligent algorithm is proposed by combining the Back Propagation (BP) algorithm and the Genetic algorithm (GA), which avoids the defects that the results of traditional BP network are easily trapped into local optimum solutions. The network convergence rate is raised by using the iteration of Levenberg-Marquardt algorithm on the basis of the proposed GA-BP strategy. With the application of this method, the diagnosis rate can reach 98.98% after the simulation model of intelligent diagnosis is built based on the coronary heart disease cases of Cleveland Clinic Foundation and Hungarian Institute of Cardiology.

Keywords

backpropagation; cardiology; genetic algorithms; medical computing; patient diagnosis; Cleveland clinic foundation; GA-BP algorithm; Hungarian institute of cardiology; Levenberg Marquardt algorithm; back propagation algorithm; coronary heart disease; genetic algorithm; hybrid computational intelligent algorithm; intelligent diagnosis; network convergence rate; Angiography; Arteries; Cardiology; Diseases; Back Propagation; Genetic Algorithm; Intelligent Diagnosis; Levenberg-Marquardt; Weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5610139

Filename

5610139