目的 基于数据挖掘技术研究分析冠心病辨证用药规律。方法 首先搜集整理名家医案处方，对数据进行规范化处理，构建冠心病处方数据库；再借助统计学软件IBM SPSS Statistics 20.0对药物频次、病位证素频次及病性证素频次的分布进行统计；最后应用Apriori关联规则算法等进行数据挖掘，分析潜藏的用药配伍规律。结果 对遴选出的145首处方进行分析，涉及216味常用中药、8个病位证素和12个病性证素；挖掘出用药频次大于平均频次的药物46味，使用频次前5位的中药分别为丹参、甘草、栝楼、半夏、川芎，病位证素以心、肾、脾、肝为主，病性证素以血瘀、气虚、痰、阳虚、气滞、阴虚为主；当满足最小支持度为15%且最小置信度为70%时，关联规则分析结果显示共得到药对关联规则15条，3味药组关联规则26条，其中置信度前3位的药对规则分别为薤白→栝楼、五味子→麦冬、郁金→丹参，置信度前3位的3味药组关联规则分别为薤白＋半夏→栝楼、丹参＋薤白→栝楼、薤白＋甘草→栝楼。结论 中医治疗冠心病辨证用药主以活血化瘀、行气导滞、补气益气、涤痰行气为法，与其主要病性证素血瘀、气虚等相符，药物大多归心经，与其主要病位证素相一致。基于数据挖掘技术分析冠心病组方用药规律，对于临床用药指导与应用具有重要价值。

Objective To analyze the rules of coronary heart disease syndrome differentiation based on the data mining technology. Methods First of all, the famous medical records and prescriptions were collected and normalized to construct the database of coronary heart disease prescriptions. Then, IBM SPSS Statistics 20.0, a statistical software, was used to conduct statistics on the distribution of drug frequency, disease site syndrome frequency and disease syndrome frequency. Finally, the Apriori algorithm was applied to carry out data mining and analyze the underlying law of drug compatibility. Results A total of 145 prescriptions were selected and analyzed, including 216 Chinese medicines, eight syndromes of disease location and 12 syndromes of disease nature. Forty-six herbs with higher frequency were found, and the top five TCM herbs were Salvia miltiorrhiza, Glycyrrhiza uralensis, Trichosanthes kirilowii, Pinellia ternata and Ligusticum chuanxiong. The main syndromes of disease location were heart, kidney, spleen and liver, while the main syndromes of disease nature were blood stasis, qi deficiency, phlegm, deficiency of yang, qi stagnation, and deficiency of yin. When the minimum support was 15% and the minimum confidence coefficient was 70%, the association rule analysis results showed that a total of 15 association rules for two-herb-combinations and 26 association rules for the trigeminy medications were obtained. The most frequency two-herb-combinations were Allium macrostemon→T. kirilowii”, “Schisandra chinensis→Ophiopogon japonicus”, “Curcumae Radix→S. miltiorrhiza. The most frequently used trigeminy medications were A. macrostemon + P. ternata→T. kirilowii, S. miltiorrhiza + A. macrostemon→T. kirilowii and A. macrostemon + G. uralensis→T. kirilowii. Conclusion The syndrome differentiation and medication of TCM in the treatment of coronary heart disease mainly focus on invigorating the circulation of blood and resolving stasis, moving qi, nourishing and replenishing qi, clearing up phlegms. It is consistent with the main syndromes of the disease nature, such as blood stasis and qi deficiency, and the herbs mostly return to the heart meridian, which is consistent with the main syndromes of the disease location. The rules of syndrome differentiation and medication of based on the data mining technique have great value for clinical medication guidance and application to analyze the prescription for coronary heart disease.

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国家重点研发计划（2017YFC1703306）；湖南省教育厅科学研究项目（19C1391）；湖南省重点研发计划（2017SK2111）；湖南省教育厅重点项目（18A227）；湖南省自然科学基金（2018JJ2301）；湖南省中医药科研计划重点课题（2020002）；湖南中医药大学电子科学与技术学科开放基金（2018DK04）