Title :
Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining
Author :
Li, Jiansheng ; Shen, Jianjing ; Yue, Caiqing ; Hu, Jinliang
Author_Institution :
Acad. of Geriatrics, Zhengzhou
Abstract :
This paper explores a method for establishing diagnostic criterion of TCM (traditional Chinese medicine) syndrome differentiation by studying the set-up of diagnostic standard model of syndrome differentiation of Type 2 diabetes. We present, based on dynamic Kohonen network, the artificial neural net (ANN), fuzzy system (FS) that were used to build up adaptive fuzzy inference system model. The system was tested for its reliability via fisher-iris determination. Then with the help of this model the clinical data was studied, simultaneously, according to TCM basic theories. We obtained the diagnostic criterion of commonly-seen syndrome of Type 2 diabetes, whose rationality was verified by data check-up.
Keywords :
data mining; inference mechanisms; medical computing; neural nets; patient diagnosis; adaptive fuzzy inference system; artificial neural net; data-mining; diagnostic criterion; dynamic Kohonen network; traditional Chinese medicine syndrome differentiation; type 2 diabetes; Diabetes; Educational institutions; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Geriatrics; Intelligent systems; Mathematical model; Medical diagnostic imaging; Neurons;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.36
