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目的:基于数据挖掘分析张从正《儒门事亲》的用药规律。方法:收集《儒门事亲》中符合纳入标准的方剂206首,涉及中药210种。利用Excel软件建立《儒门事亲》方药数据库,采用SPSS 17.0和clementine 12.0软件对数据进行描述性分析、关联规则分析和聚类分析。结果:使用频次≥20的中药依次为甘草、大黄、当归、生姜、牵牛、人参、川芎、白术、黄芩、滑石、茯苓、陈皮;经过关联规则分析,共得到关联规则31组;经过聚类共得到核心药物组合9对。结论:结果显示张从正无论是在药物使用频率还是方剂配伍中,都重视脾胃学说,善用补益脾胃之品。
OBJECTIVE: To analyze the law of administration of Zhang Congzheng’s “Rights in Confucianism” based on data mining. Methods: We collected 206 prescriptions that met the inclusion criteria in “Ruan Wen Shi Qin” and involved 210 kinds of Chinese medicines. Excel software was used to establish the “Ruanmen’s Pro” prescription drug database, and SPSS 17.0 and clementine 12.0 software were used for descriptive analysis, association rule analysis and cluster analysis. RESULTS: The use frequency of ≥ 20 Chinese herbs were licorice, rhubarb, angelica, ginger, morning glory, ginseng, Chuanxiong, atractylodes macrocephala, radix pilosula, talc, alfalfa and tangerine peel. After analysis of association rules, 31 groups of association rules were obtained; A total of 9 pairs of core drug combinations were obtained. Conclusion: The results show that Zhang Congzheng pays attention to the theory of spleen and stomach both in the frequency of drug use and the compatibility of prescriptions, and makes good use of replenishing spleen and stomach products.