Title :
Research on Clinical Diagnostic Models of IPF Syndromes in TCM Based on Dynamic Kohonen Network and Decision Tree
Author :
Jinliang, Hu ; Caiqing, Yue ; Jiansheng, Li ; Jianjing, Shen
Author_Institution :
Coll. of Inf. Eng., First Affiliated Hosp., Henan Univ. of Traditional Chinese Medicine, Zhengzhou, China
Abstract :
To explore methods of establishing Clinical Diagnostic models of Idiopathic pulmonary fibrosis(IPF) syndromes in TCM (traditional Chinese medicine) by studying the results of data mining of IPF. The end fuzzy rule and result were get by the contrast of dynamic kohonen network and Decision Tree, their reliability was tested with the Fisher-iris data. The coincident diagnostic rate of dynamic kohonen network and Decision Tree reached 94% and 92% in comparison of the test data. The model, for its rational characteristics, can be applied to the study of diagnostic criterion for IPF syndromes.
Keywords :
decision trees; medical diagnostic computing; self-organising feature maps; IPF syndromes; TCM; clinical diagnostic models; data mining; decision tree; dynamic Kohonen network; idiopathic pulmonary fibrosis; traditional Chinese medicine; Artificial neural networks; Data mining; Diseases; Lungs; Medical diagnostic imaging; Neurons; Decision Tree; IPF; data mining; dynamic kohonen network;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.204
