NDLI: Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining

Content Provider	IEEE Xplore Digital Library
Author	Jiansheng Li Jianjing Shen Caiqing Yue Jinliang Hu
Copyright Year	2007
Description	Author affiliation: Acad. of Geriatrics, Zhengzhou (Jiansheng Li)
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.
Starting Page	747
Ending Page	754
File Size	398360
Page Count	8
File Format	PDF
ISBN	9780769529769
DOI	10.1109/ISDA.2007.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Neurons Fuzzy neural networks Educational institutions Diabetes Mathematical model Intelligent systems Medical diagnostic imaging Fuzzy systems Geriatrics
Content Type	Text
Resource Type	Article

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Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining