Building symptoms diagnosis criteria of Traditional Chinese Medical by the rough set theory and Apriori arithmetic

It is the basic means of improving the scientific of Traditional Chinese Medicine to establish symptoms diagnostic criteria of TCM. Computational intelligence methods open up new prospects of TCM symptoms diagnostic criteria. Base clinical data of bacterial pneumonia in the elderly, at first data reduction for deletion of unnecessary indicators and getting the core indicator data by Pawlak algorithm after the pre-treatment, then TCM syndrome acted as the conclusions domain of association rules. By the introduction of high confidence level, the main symptoms are distinguished between the sub-symptoms by using of the Apriori algorithm. A TCM symptoms diagnostic criterion of bacterial pneumonia in the elderly is composed of the main symptoms and the sub-symptoms. The method of mining TCM symptoms diagnostic criteria is in promotion on certain significance.