基于关联规则与熵聚类的止咳类中成药组方规律研究

Analysis oncompositionrules ofsuppress coughbased onassociationrules andclustering algorithm

目的：分析常用止咳类中成药的处方用药规律。方法收集《新编国家中成药》中的止咳类药品处方，基于中医传承辅助系统建立处方数据库，采用关联规则apriori算法、复杂系统熵聚类等方法开展研究，确定处方中各种药物的使用频次及药物之间的关联规律。结果高频次药物包括甘草、桔梗、苦杏仁、麻黄、陈皮等；高频次药物组合包括“甘草、桔梗”“甘草、苦杏仁”“甘草、陈皮”等；置信度较高的关联规则包括“陈皮、桑白皮”“陈皮、瓜蒌仁”等，新处方包括“苦杏仁、麦冬、瓜蒌仁、知母、生地黄”等。结论止咳药类中成药处方药物多具有疏散解表、清热燥湿、宣肺化痰、滋阴补气等功效。

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.