Research on Association Rule Mining Method of Prescription Dosage Based on Fuzzy Clustering and Fuzzy Association
Objectives: To explore dosage size distribution of Chinese medicine prescription and excavate the association relationship of prescription dosage so as to provide reference for clinical medication and method foundation for researching prescription dosage as well as effect. Methods: Based on the pretreatment of 12138 groups of clinical Chinese medicine prescriptions, fuzzy clustering and fuzzy association rules were used for mining. Results: The central points of309 kinds of medicine dosage sizes along with their respective dosage membership matrixes were acquired, which were applied to generate 21 dosage fuzzy association rules. Meanwhile, this algorithm was used to compare with traditional data mining method. Conclusions: Fuzzy clustering algorithm can realize the reasonable partition of Chinese medicine dosage, and fuzzy association algorithm, compared with traditional association analysis means, is more suitable for excavating prescription dosage.
NETL
NSTL
万方数据
维普
