Abstract
In this paper, the complex nonlinear relationship between NIHSS and TCM-SSASD is analyzed. Much method based on the BP neural networks is induced to approximate this complex nonlinear relationship. At the same time, two schemes of multiple models are proposed to improve the approximation performance of the BP neural network. Through the comparison among these schemes, it is shown that there is exact complex nonlinear relationship between the two diagnosis sheets. The works in the paper would be guidance for the diagnosis of the Apoplexy Syndromes and assistant for the further study of the relation between Western medicine and Traditional Chinese Medicine.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wang, Z.H.: The Study on the Classification Standards of TCM Apoplexy Syndromes Based on the Clustering Analysis of TCM Standardized Sheet of Apoplexy Syndromes Diagnosis. Research report ACSL_06001, Beijing Jiaotong University, The Institute of Advanced control system, http://www.acsl.bjtu.edu.cn
The Scientific Research Group of Apoplexy Syndrome and Clinic Diagnose: The Clinic Study on the Criterion for Diagnose and Differentiation of Syndromes of Stroke. Journal of Beijing University of TCM 6, 41–43 (1994)
Hu, J.L., Li, J.S., Yu, X.Q.: The Background and Status in Quo of Criterion for the Diagnose of TCM Syndromes. Journal of Henan University of Chinese Medicine 20(11), 77–79 (2005)
Hou, F.G., Zhao, G., He, X.M.: The Summarize for the Methodology in the Criterion for Diagnose of Syndromes Quantification. Shanxi Chinese Medicine 26(5), 473–475 (2005)
Li, J.S., Hu, J.L., Yu, X.Q., Wang, M.H., Wang, Y.Y.: The Study on the Syndromes Diagnose by Radial Basic Function Neural Network Based on the Clustering Data Mining. Chinese Journal of Basic Medicine in Traditional Chinese Medicine 11(9), 685–687 (2005)
Wang, X.W., Zhai, H.B., Wang, J.: A Quantification Diagnose Method for Chinese Medicine Based on the Data Mining. Journal of Beijing University of TCM 28(1), 4–7 (2005)
Liu, B.: The Application of Neural Network in the Field of Chinese Medicine. The Journal of Chinese medicine 5 (2003), http://www.100md.com/html/Dir/2003/05/12/9132.htm
Yang, D., Wang, J.Q., Jing, X.J., Mi, A.S., Lu, G.H.: Detection of Noncontact Llife Parameter Signals by BP Neural Network. Journal of the Fourth Military Medical University 25(14), 1249–1251 (2004)
Liu, H.M.: Forecasting the Extraction of Coumarins in Angelica dahurica by Supercritical CO2 with BP Neural Network. Shizhen Chinese medicine 4(2), 176–178 (2006)
Wei, X.H., Wu, J.J., Liang, W.Q.: Application of an Artificial Neural Network in the Design of Sustained-Release Dosage Forms. Acta Pharmaceutica Sinica 36(9), 690–694 (2001)
Narendra, K.S., Balakrishnan, J., Ciliz, M.K.: Adaptation and Learning Using Multiple Models Switching and Tuning. IEEE Control System Magazine 15(3), 37–51 (1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Yanxin, Z., Junfeng, X., Ying, G., Zhongsheng, H. (2007). Study on Relationship Between NIHSS and TCM-SSASD Based on the BP Neural Network Multiple Models Method. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-72395-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72394-3
Online ISBN: 978-3-540-72395-0
eBook Packages: Computer ScienceComputer Science (R0)