Title :
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
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;
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
DOI :
10.1109/ICEMI.2011.6037979
