A Mining Algorithm Study of Obtaining Diagnosis Rule from Cinical Data and Diseases Cases

摘要

This paper analyzed the datum characteristics of clinical data and diseases database of the traditional Chinese Medicine (TCM) tongue diagnosis. A mining algorithm of association rules have been advanced,which mines the diagnosis rules. The algorithm presented a more efficiency method of quantitative description about strength of association relationship.Meanwhile the paper improved FP-growth mining algorithm. Research have been made in every field of accuracy of quantitative description and high efficiency of algorithm.The application result make clear that the algorithm can be accurate more and fitter.