Research on diagnosis of TCM syndromes of chronic obstructive pulmonary disease in a stable state based on neuro-fuzzy theory

Abstract

To make a summary of methods to establish diagnostic models of the syndromes in traditional Chinese medicine (TCM) by studying the results of data mining of chronic obstructive pulmonary disease (COPD)in a stable state. First, we carried out data management. In accordance with the selection criteria, we collected more than one thousand copies of clinical data from the patients with COPD in a stable state by way of clinical epidemiology. Secondly, we worked out the plan for modeling: building up fuzzy neural net models on the basis of dynamic Kohonen network and testing their reliability with the Fisher-iris data. Finally, with the help of the models, we studied the clinical data and obtained the diagnostic criteria for common syndromes of COPD in a stable state according to TCM basic theories. The model can be applied to the studies of diagnostic criteria for syndromes of COPD in a stable state by data check-up.