DocumentCode :
3335862
Title :
Research on dietetic therapy of TCM by computer-aided design
Author :
Yu, Sheng ; Li, Shao-Zi ; Chen, Jin-Xiu ; Guo, Feng
Author_Institution :
Dept. of Cognitive Sci., Xiamen Univ., Xiamen, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
1085
Lastpage :
1090
Abstract :
With the full use of syndrome differentiation theory and making the best of the treatment of medicated diet, the dietetic therapy of traditional Chinese medicine is devoted to harmonize the Yin, Yang, Qi, blood within the human body, to improve human body´s health effectively. In this paper, we proposed an improved information gain method based on information gain method and TF-IDF method to express symptoms and mine the relationship between symptoms and category of medicated diet. According to the given symptom sets, it got the most suitable and likely category of medicated diet. In this way, it could simulate the diagnosis of the dietetic therapy of traditional Chinese medicine. The results show that the improved information gain method is more effective than information gain method and TF-IDF method on the expression of symptoms and can improve the accuracy of classification.
Keywords :
CAD; data mining; medical diagnostic computing; medical information systems; patient treatment; TF-IDF method; computer-aided design; dietetic therapy; information gain method; syndrome differentiation theory; traditional Chinese medicine; Blood; Cognitive science; Curing; Design automation; Humans; Medical diagnostic imaging; Medical simulation; Medical treatment; Spatial databases; Standards development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
Type :
conf
DOI :
10.1109/ITIME.2009.5236238
Filename :
5236238
Link To Document :
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