Improved BP algorithm and its application to intelligent diagnosis of coronary heart disease

Author

Ming, Liu ; Yi, Wang ; Xiaogang, Dong ; Qiucheng, Sun ; Jiawei, Tan

Author_Institution

Coll. of Basic Sci., Changchun Univ. of Technol., Changchun, China

Volume

4

fYear

2011

Firstpage

204

Lastpage

207

Abstract

BP algorithm is improved and developed by using the iteration of Levenberg-Marquardt algorithm which improves the network convergence rate. After the analysis of the coronary heart disease cases provided by Cleveland Clinic Foundation, the 14 parameters which reflect the characteristics of coronary heart disease are concluded. On the basis of the improved BP algorithm, the simulation model of intelligence diagnosis is built. With the application of this method, the diagnosis rate can reach 99.3%.

Keywords

backpropagation; cardiology; diseases; gradient methods; medical computing; neural nets; optimisation; patient diagnosis; Levenberg-Marquardt algorithm; improved back propagation algorithm; intelligent coronary heart disease diagnosis; iterative method; network convergence rate; simulation model; Angiography; Arteries; Diseases; Educational institutions; Heart; Neurons; Testing; improved BP Algorithm; intelligent diagnosis; iteration of L-M; weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8158-3

Type

conf

DOI

10.1109/ICEMI.2011.6037979

Filename

6037979