Recognition Patterns Construction of Coronary Heart Disease Patients with Qi Deficiency Syndrome Based on Artificial Neural Network

Abstract:

Coronary heart disease (CHD), called “thoracic obstruction” in TCM, is one of the most important types of heart disease for its high incidence and mortality. The methods of syndrome studies in TCM can not be completely in accordance with these of modern medicine because of the complexity itself. In this paper, we investigated the ability of Artificial Neural Networks (ANNs) to predict CHD patients with or without qi deficiency syndrome. Predictions with Multilayer Perceptron Neural Network (MPLNN, one type of the ANNS), we obtained recognition patterns made up of eight biological parameters. The accuracy of this recognition pattern was 82.2%, and the accuracy of validation pattern was 80.0%.

• Periodical: Advanced Materials Research (Volumes 393-395)
• Pages: 916-920
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.393-395.916
• Online since: November 2011
• Authors: Qi Shi, Hui Hui Zhao, Jian Xin Chen, Yi Yang, Cheng Long Zheng, Wei Wang
• Keywords: Artificial Neural Network (ANN), Coronary Heart Disease, Qi Deficiency Syndrome, Recognition Pattern, Traditional Chinese Medicine

References

[1] G. X Sun, C. Y Liao, Z. K Yuan, et al.: Chinese Journal of Integrative Medicine On Cardio-/Cerebrovascular Disease Vol. 6(2008), pp.706-707.

[2] H. H Zhao, W. Wang: Acta Chimica Sinica Vol. 67(2009), pp.167-173.

[3] H. H Zhao, J. X Chen, N. Hou, et al.: Evidence-based Compl. and Alt. Medicine Vol. 7(2010), pp.101-118.

[4] H. H Zhao, F. Yang, W. Wang, et al.: Chemical Journal of Chinese Universities Vol. 31(2010), pp.285-292.

[5] C. H Shi, H. H Zhao, N. Hou, et al.: Chemical Research in Chinese Universites Vol. 27(2011), pp.87-93.

[6] G. Qi Qi, Y. Y Li, P. Zhang, et al.: Chinese Journal Of Traditional Chinese Medicine Vol. 26(2011), pp.380-383.

[7] Y. P Tian, Y. M Yin, J. Qian, et al.: Chinese Journal of Radio Science Vol. 19(2004), pp.145-147.

[8] Dayhof JE, Deleo JM.: Cancer Vol. 91(2001), pp.1615-1634.

[9] Cross SS, Harrison RF and Kennedy RL: Lancet Vol. 346(1995), pp.1075-1079.

[10] Camps VG, Porta OB, Soria OE, et al.: IEEE Trans Biomed Eng Vol. 50(2003), pp.442-448.

[11] Akl AI, Sobh MA, Enab YM, et al.: Am J Kidney Dis Vol. 38(2001), pp.1277-1283.

[12] Tangri. N, Ansell. D and Naimark. D: Nephrol Dial Transplant Vol. 23(2008), pp.2972-2981.

[13] J. X Chen, G. C Xi, W. Wang, et al.: Beijing Biomedical Engineering Vol. 27(2008), p: 249-252.

[14] W. J Wang, Y. X Ding: Chinese Journal of Integrated Traditional And Western Medicine Vol. 17 (1999), pp.319-320.

[15] M. Z Xie,Y. Xie,H. M Tian, et al.: Chinese Journal of Information on TCM Vol. 13(2006), pp.22-23.

[16] G. Qi Qi, Y. Y Li, J. X Chen, et al.: Chinese Journal of Integrative Medicine on Cardio-/ Cerebrovascular Disease Vol. 8(2010), pp.1418-1420.

[17] Q. F Li, M. J Zhu, H. F Liu, et al.: World Journal of Integrated Traditional and Western Medicine Vol. 6(2011), pp.115-121.

[18] M. Z Xie, Y. Xie, H. Y Huang, et al.: Journal of TCM Univ. of Hunan Vol. 25(2005), pp.41-45.