Affiliation:
1. Nanchang University
2. Jiangxi University of Traditional Chinese Medicine
Abstract
Data mining and optimize traditional Chinese medicine (TCM) prescription compatibility based on wavelet denoise spectral and partial least squares (WDS-PLS). Method: First of all, experimental design: with reference to the original formula, the herbal medicines in a prescription designed nine formula based on mixing uniform design; Secondly, obtain experimental data and data standardization; Finally, mathematical modeling, data mining and optimize TCM prescription compatibility base on WDS-PLS.Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription. Conclusion: the method data mining and optimize the compatibility of the dachengqi decoction is feasible and effective.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
1. Evrendilek, F., Karakaya, N. Physica a-statistical mechanics and its applications, (2014)404: 8-15.
2. Jian Wu, Zhiming Cui, Yujie Shi, Dongliang Su. Journal of Algorithms & Computational Technology. 2013, 7(2): 119-35.
3. Wang Huiwen. Partial least squares regression method and its application, Beijing, china, National Defence Industry Press (1999).
4. Information on http: /www. umetrics. com.
5. Trygg,J., Journal of chemometrics, vol. 18(2004), pp.166-172.