【摘 要】目的：通过搜集医案，分析治疗类风湿关节炎的用药规律。方法：将《中华医典》收集的医案方剂导入古今医案云平台(V2.3.7)，借助其数据挖掘功能分析药物使用频次，四气五味、归经、功效分布，药物的关联、聚类、社团、复杂网络分析。结果：收集到符合条件的处方175个，共计239种药物，使用频次2025次，药物频次≥30次的药味有18个，排名前6位的高频药物依次为当归、桂枝、牛膝、秦艽、茯苓、桑枝。四气分布以温、平为主，五味以甘、辛、苦为主，归经以肝、脾、肺经为主。药物功效主要集中于祛风湿、祛风除湿。排名前3位关联药物组合为牛膝-当归、秦艽-当归、桑枝-当归。对频次前25位的药味进行聚类分析，得到3个核心药物组合。进一步对239种中药进行分析，得到4个核心组团，配伍规律50条。结论：治疗类风湿关节炎的中药以祛风湿、祛风除湿、补肝肾、强筋骨为主，兼顾利水、止痛、补血活血、清热等，标本同治。

    【关键词】 类风湿关节炎；《中华医典》；古今医案云平台；用药规律；数据挖掘

    Research on the Medication Rules for Treating Rheumatoid Arthritis Based on Data Mining from The Chinese Medical Dictionary

    CAI Guo-chang，AN Yang，YANG Jia-xia，ZHAO Qing-qing，WEN Hong，XIE Liang-shan

    【ABSTRACT】Objective：To analyze the medication rules for treating rheumatoid arthritis by collecting medical records.Methods：The prescriptions of medical cases collected from The Chinese Medical Dictionary were imported into the Ancient and Modern Medical Case Cloud Platform(V2.3.7)，and its data mining function was used to analyze the frequency of drug use，the four qi and five flavors，meridian tropism，efficacy distribution，drug association ......