Research on Clinical Diagnostic Models of IPF Syndromes in TCM Based on Dynamic Kohonen Network and Decision Tree

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.