Huang Zhao-Ming
GuangXi Medical University 1st affiliated Hospital, Nanning, Guangxi, 530022, China
Zeng Xue-Mei
GuangXi Medical University 1st affiliated Hospital, Nanning, Guangxi, 530022, China
ABSTRACT
Diagnosis. In order to improve the accuracy of Clinical Diagnosis for Cardiovascular Disease, ANN(Artificial Neural Network is introduced in this paper. 200 cases of cardiovascular disease which have similar symptom and different diagnosis are sampled from our database. BP Network model in Matlab environment is created for these cases. Simulation results show that the Diagnosis after training is much better than that with the doctor diagnosis opinion. It can be concluded that this new method is of important value for realistic scale in clinical.
PDF References Citation
How to cite this article
Huang Zhao-Ming and Zeng Xue-Mei, 2013. A New Method for Cardiovascular Disease Clinical Diagnosis Based on Artificial Neural Network Model. Information Technology Journal, 12: 6277-6280.
DOI: 10.3923/itj.2013.6277.6280
URL: https://scialert.net/abstract/?doi=itj.2013.6277.6280
DOI: 10.3923/itj.2013.6277.6280
URL: https://scialert.net/abstract/?doi=itj.2013.6277.6280
REFERENCES
- Cotter, N.E., 1990. The stone-weierstrass theorem and its applications to neural networks. IEEE Trans. Neural Networks, 1: 290-295.
CrossRefDirect Link - Yang, L., N. Xie, C. Zhong and X.Y. Lu, 2008. Design and realization of electronic medical record system based on UML modelling technology. GuangXi Univ. J., 33: 398-402.
Direct Link