Title :
Study on classification of the efficacy of traditional Chinese medicine based on FAAS combined with chemometrics methods
Author :
Gao, Jinhong ; Tian, Xinling ; Li, Jifeng
Author_Institution :
Dept. of Chem. & Chem. Eng., Weinan Teachers Coll., Weinan, China
Abstract :
This paper applies flame atomic absorption spectrophotometry to determine the content of metallic element in 24 kinds of TMC. Chemo-metric approaches, including Hierarchical Clustering Analysis (HCA), Principal Component Analysis (PCA), and Probabilistic Neural Network (PNN) are used to carry out classified analysis on TCM efficacy, and the results show that this research on TCM efficacy using the approach combined FAAS with chemometrics has a scientific reference value for the further TCM efficacy analysis.
Keywords :
chemistry computing; data analysis; drugs; medical computing; neural nets; pattern clustering; principal component analysis; probability; spectrochemical analysis; FAAS; TCM efficacy classification; chemometrics; flame atomic absorption spectrophotometry; hierarchical clustering analysis; metallic element content determination; principal component analysis; probabilistic neural network; traditional Chinese medicine; Artificial neural networks; Blood; Chemical elements; Chemicals; FAA; Principal component analysis; Probabilistic logic; Classification; chemometrics; traditional Chinese medicine (TCM);
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5966265
