Name
Title | ||
|---|---|---|
Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining |
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISDA.2007.4389697 | ISDA |
Keywords | Field | DocType |
neural nets,data mining,fuzzy system,traditional chinese medicine,standard model | Data mining,Rationality,Computer science,Self-organizing map,DIAGNOSTIC STANDARD,Artificial intelligence,Fuzzy control system,Artificial neural network,Machine learning,Fuzzy inference system | Conference |
Volume | Issue | ISBN |
null | null | 0-7695-2976-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiansheng Li | 1 | 0 | 1.35 |
| Jianjing Shen | 2 | 1 | 3.72 |
| Caiqing Yue | 3 | 0 | 0.34 |
| Jinliang Hu | 4 | 0 | 1.35 |