Analysis oncompositionrules ofsuppress coughbased onassociationrules andclustering algorithm / 国际中医中药杂志

ABSTRACT

ObjectiveTo explore composition rules of suppress cough prescriptions.MethodsThe suppress cough prescriptions in “The New National Medicine” were collected to build a database based on Traditional Chinese medicine inheritance assist system. Themethods of association rules with apriori algorithm and complex system entropy cluster were used to achieve the frequency of medicines and association rules between drugs.ResultsThe data-mining results indicated that themostfrequentlyused drugs wereRadix Glycyrrhizae, Platycodon grandiflorum, Semen armeniacae amarae, Ephdra vulgaris, Dried tangerine or orange peel. The most frequent drug combinations were “Radix Glycyrrhizae, Platycodon grandiflorum”, “Radix Glycyrrhizae, Semen armeniacae amarae”, “Radix Glycyrrhizae, Dried tangerine or orange peel” and so on. The drugs with a high degree confidence coefficient of association rules include “Dried tangerine or orange peel, the root bark of white mulberry”, “Dried tangerine or orange peel, Snakegourd Seed”. The new prescription that we can get composited by Fructus AurantiiwasAngelica decursiva, Pericarpium Citri Reticulatae, Rhizoma Anemarrhenae, the root bark of white mulberry.ConclusionFrom the analysis above, we could conclude that the drugs insuppress cough prescriptions havemoreeffects ofrelieving superficies, clearing heat and drying dampness, ventilating the lung and resolving phlegm,nourishingYinand supplementingQi.