基于数据挖掘探讨徐爱琴治疗荨麻疹的用药规律
Exploring the Medication Patterns of Xu Aiqin in the Treatment of Urticaria Based on Data Mining

目的：通过数据挖掘，探究徐爱琴教授治疗荨麻疹的用药规律。方法：运用古今医案云平台(V2.3.7)，收集徐爱琴教授2022年8月1日至2023年7月30日的荨麻疹患者门诊医案，建立数据库，通过频次统计、药物属性分析、关联分析及层次聚类将标准化后的数据库进行分析。结果：收集病案193则，涉及中药171味，其中用药频次较高药物是防风、牛蒡子、茯苓等。药性以平、温、寒为主，药味以甘、辛、苦为主，归经上则以脾经、肺经、胃经为主。功效以清热解毒、疏散风热、补中益气为主。关联分析显示常用药对有4对，通过层次聚类，出现频率较高的20味药物可聚成4类。结论：徐爱琴教授治疗荨麻疹以清热疏风为主，辅以健脾补肺，治疗往往能取得较好的疗效。
Objective: To explore the medication patterns of Professor Xu Aiqin in the treatment of urticaria through data mining. Method: Using the ancient and modern medical record cloud platform (V2.3.7) to collect outpatient medical records of urticaria patients from Professor Xu Aiqin from August 1, 2022 to July 30, 2023, establish a database, and analyze the standardized database through fre-quency statistics, drug attribute analysis, association analysis, and hierarchical clustering. Result: A total of 193 medical records were collected, involving 171 traditional Chinese medicines. Among them, the most frequently used drugs were Fangfeng, Burdock, Poria cocos, etc. The medicinal properties are mainly composed of calmness, warmth, and coldness, while the medicinal taste is mainly composed of sweetness, spiciness, and bitterness. The meridians are mainly focused on the spleen, lung, and stomach meridians. The main efficacy is to clear heat and detoxify, disperse wind heat, and nourish the middle and replenish qi. Association analysis shows that there are 4 com-monly used drug pairs, and through hierarchical clustering, the 20 drugs with higher frequency can be clustered into 4 categories. Conclusion: Professor Xu Aiqin’s treatment of urticaria mainly focus-es on clearing heat and dispersing wind, supplemented by strengthening the spleen and tonifying the lungs, and often achieves good therapeutic effects.