Data Mining and Optimize TCM Prescription Compatibility Based on WDS-PLS

Zhuo Wang; Bin Nie; Ri Yue Yu

doi:10.4028/www.scientific.net/AMM.687-691.1385

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Data Mining and Optimize TCM Prescription...

Data Mining and Optimize TCM Prescription Compatibility Based on WDS-PLS

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.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1385-1388

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1385

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Online since:

November 2014

Authors:

Zhuo Wang, Bin Nie, Ri Yue Yu

Keywords:

Data Mining (DM), Optimize, Partial Least Squares, Wavelet Denoise Spectral

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