Study TCM Prescription Compatibility Dose-Response Relationship Based on MSC-PLS

Bin Nie; Ri Yue Yu; Zhuo Wang

doi:10.4028/www.scientific.net/AMM.687-691.4042

Paper Titles

Design and Simulation of a Wide-Band LPDA
p.4024

A Simulation Study of FIR Anti-Aliasing Filters
p.4029

Research of a Variable Rate Real-Time Optical OFDM-PON Access System Based on Oversampling
p.4033

The Dimension Reduction Method of Face Feature Parameters Based on Modular 2DPCA and PCA
p.4037

Study TCM Prescription Compatibility Dose-Response Relationship Based on MSC-PLS
p.4042

Goods Inventory System Based on RFID and Android Platform
p.4046

Missing Tag HPL Detection Algorithm in Large Scale Active RFID System
p.4050

Study on the Multi-Tag Identification Anti-Collision Algorithm of RFID in Automobile Assembly Line
p.4056

Research on Modeling Methods of Power Amplifier with Memory Effect in Broadband Communication
p.4060

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Study TCM Prescription Compatibility Dose-Response...

Study TCM Prescription Compatibility Dose-Response Relationship Based on MSC-PLS

Abstract:

Study traditional Chinese medicine prescription compatibility based on multiplicative signal correction and partial least squares (MSC-PLS). Method: mathematical modeling base on MSC-PLS. Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription.Conclusion: using multiplicative signal correction and partial least squares method optimize the compatibility of the dachengqi decoction cure ileus rats is feasible and effective.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

4042-4045

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.4042

Citation:

Cite this paper

Online since:

November 2014

Authors:

Bin Nie*, Ri Yue Yu, Zhuo Wang

Keywords:

Dose-Response Relationship, Multiplicative Signal Correction, Partial Least Squares

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Parnell, Julie R.; Yager, Paul. Application of multiplicative signal correction (MSC) to Raman spectra for use in an anesthetic sensor. Advances in Fluorescence Sensing Technology II, February 8, (1995).

DOI: 10.1117/12.208525

Google Scholar

[2] ZHANG Xin, SHAN Yang, LI Shui-fang. OOD&MACHINERY, 2009, 25(6): 109-112.

Google Scholar

[3] Wang Huiwen. Partial least squares regression method and its application, National Defence Industry Press: Beijing (in Chinese), (1999).

Google Scholar

[4] Sharma, MC; Sharma, S; Sahu, NK; Kohli, DV. Journal of Saudi Chemical Society, vol. 17 (2) (2013), pp.219-225.

Google Scholar

[5] Sahin, S; Isik, E; Aybastier, O ; Demir, C. Journal of Chemometrics, vol. 26(7), (2012), pp.390-399.

Google Scholar

[6] Nie Bin, Du Jianqiang, Yu Riyue, Wang Zhuo. WIT Transactions on Biomedicine and Health, Vol. 18 (2014), P: 403-410.

Google Scholar

[7] Nie Bin, Du Jianqiang, Yu Riyue, Wang Zhuo. Advanced Materials Research. Vol. 864-867, (2014), P: 512-515.

Google Scholar

[8] Nie Bin, Du Jianqiang, Yu Riyue, Wang Zhuo. WIT Transactions on Biomedicine and Health, Vol. 18 (2014), P: 519-526.

Google Scholar

[9] Martens, H. and Naes, T., Multivariate Calibration. Wiley, N.Y., (1989).

Google Scholar

[10] Geladi,P., MacDougall,D., and Martens,H., Applied Spectroscopy, vol. 3(1985), pp: 491-500.

Google Scholar