DocumentCode :
3122433
Title :
Complex System Entropy Cluster Based Research on Treating Allergic Rhinitis by Traditional Chinese Medicine
Author :
Shi, Chenghe ; Yan, Yan ; Wang, Xiujuan ; Zhao, Yuhao ; Liu, Renquan
Author_Institution :
Dept. of TCM, Peking Univ., Beijing, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Five Viscera Tonifying Method (FVTM) was established by Prof. Gao Zhongying, a national prestigious and experienced practitioner of Traditional Chinese Medicine (TCM). This method extends the implication of tonfiying method while making a break-through in traditional TCM theories. With this featured method in pattern identification and herbal prescription, Prof. Gao is famed for his significant clinical effects by using well-prescribed formula. The combined therapy of reinforcing the lung and eliminating the pathogenic factors for allergic rhinitis is a manifestation of the five viscera tonifying method, which has a significant clinical effect. We used entropy clustering technology of the complex systems to explore the prescription data of the famous veteran teran doctors of TCM (Traditional Chinese Medicine), found the discipline of prescription for the treatment to allergic rhinitis in the premise of effective treatment. The strategy presented in the paper contributes significantly to treat allergic rhinitis by Traditional Chinese Medicine in clinics.
Keywords :
data mining; diseases; entropy; large-scale systems; lung; medical computing; patient treatment; pattern clustering; statistical analysis; allergic rhinitis; complex system entropy cluster method; data mining; five viscera tonifying method; herbal prescription; lung; pattern identification; traditional Chinese medicine; Clustering algorithms; Data mining; Databases; Diseases; Entropy; Lungs; Medical diagnostic imaging; Medical treatment; Pathogens; Viscera;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5516506
Filename :
5516506
Link To Document :
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