The data mining of TCM syndrome diagnostic criteria by the R_Apriori algorithm

As the association rules mining algorithm, Apriori algorithm is gotten a lot of application used for its easy use. However, it often encountered some problem as low mining efficiency, too many invalid rules acquired and the rules of pattern mining disorder. In this paper, an algorithm called R_Apriori which improved from Apriori algorithm is designed for above problems. It is necessary to build syndrome diagnosis criteria of Traditional Chinese Medical for solution it´s non-scientificalness of experience medical. With treatment on the elderly virus pneumonia, a series of process including initial null handle, subtraction operation, reducing data dimension. By data mining based on R_Apriori algorithm, syndrome diagnostic criteria of bacterial pneumonia in the elderly were defined. The method of establishment TCM diagnosis criteria has worthy of promotion.