张林华+吴嘉瑞+姜迪

    [摘要] 目的 探讨中医治疗风湿病的组方用药规律。 方法 收集中医治疗风湿病的处方，基于中医传承辅助平台软件构建数据库，采用关联规则和复杂系统熵聚类算法，确定处方中各药物及药物组合的使用频次，挖掘药物之间的关联规则等。 结果 高频次药物包括当归、甘草、白芍、黄芪、羌活、丹参等；高频次药物组合包括“当归，白芍”“甘草，当归”“川芎，当归”等。置信度为0.7以上的关联规则包括“香附->当归”“鸡血藤->当归”“川芎->当归”。 结论 风湿病的治疗处方多采用补气血、祛风湿、活血化瘀类药物，体现中医标本兼顾、辨证论治的治疗原则。

    [关键词] 风湿病；数据挖掘；关联规则；熵聚类

    [中图分类号] R255 [文献标识码] A [文章编号] 1673-7210(2017)11(c)-0143-04

    Analysis on medication rules of traditional Chinese medicine prescriptions for rheumatism based on data mining

    ZHANG Linhua1，2 WUJiarui1 JIANG Di2

    1.School of Chinese Materia Medica， Beijing University of Chinese Medicine， Beijing 100029， China； 2.Institute of Clinical Pharmacy of Beijing Municipal Health Bureau， Beijing 100035， China

    [Abstract] Objective To explore the medication rules of Chinese medicine in the treatment of rheumatic diseases. Methods The traditional Chinese medicine prescriptions for the treatment of rheumatism were collected and the related database was built based on Traditional Chinese Medicine Inheritance Support System (TCMISS) ......