基于数据挖掘及辨证论治探讨国家药品标准中中药治疗肝病的用药特点。分析《中国药典》2015年版、《中国药典·临床用药须知》2010年版（中药卷）和中华人民共和国卫生部药品标准中治疗肝病的经典方剂，建立数据库；采用Excel统计分析软件进行频数分析，采用SAS 9.1统计分析软件作为数据挖掘平台，进行关联规则分析。共获得肝病治疗用中药复方114个，涉及药物246种；以使用频次≥10次的27种作为主要药物进行分析，归为补虚药、理气药、活血化瘀药、清热药、利水渗湿药、化湿药、解表药、泻下药、收涩药9大类；经关联规则分析，共获得两联药对18对，三联药对20对；结合病症分析了用药特点。结合数据挖掘和辨证论治有助于解读中药复方治疗肝病的用药规律和特点。

Study on the characteristics of Chinese materia medica (CMM) for treating liver disease in CMM standard based on data mining and theory of syndrome differentiation and treatment. To analyze the prescriptions of oral Chinese patent medicine (CPM) for liver disease treatment of China Pharmacopoeia, China Pharmacopoeia·Clinical Medication Notice [2010 edition (CMM vol.)] and Drug standard of Ministry of Health of the People's Republic of China; Excel statistical analysis software was used to frequency analysis, using SAS 9.1 statistical analysis software as a data mining platform to carry out the association rules analysis. In 114 prescriptions for the treatment of liver disease, 246 herbs were involved. A cluster analysis was used to analyze 27 herbs with high frequency (≥10) of usage, which were classified into nine clusters including complement virtual medicine, medicine for regulating qi, promoting blood circulation to remove blood stasis, antipyretic, diuretics for eliminating dampness drugs, cathartic, and astringent drug. Eighteen pairs of herbs and 20 pairs of three herbs for oral CPM for liver disease treatment were obtained by association rule analysis. Combined with the characteristics of disease medication. the data mining and the theory of syndrome differentiation and treatment can help to interpret the law and characteristics of CMM in the treatment of liver disease.