目的：总结分析现代临床实践中胃癌中医药治疗组方配伍规律，探索数据挖掘技术在方剂配伍规律研究中的合理应用。方法：本研究以CNKI及万方文献引擎为数据源搜集整理现代文献资料，综合运用频次统计、关联分析以及配伍网络等技术方法，分析了目标方剂集上中药使用频次及配伍特点等规律。结果：经筛选与标准化处理后，共纳入方剂116首，含中药1269味次，涉及17类212个中药。结论：中医治疗胃癌重视以扶正为本，随证常配伍活血化瘀、清热解毒、消痰散结、理气行滞之品。

This study was aimed to analyze the current prescription combination rules on traditional Chinese medicine (TCM) in gastric cancer treatment, in order to explore reasonable?application of data mining technology?in the study of prescription combination rules. Modern literatures were searched in CNKI and WanFang database. Frequency analysis, association analysis and composition network were used comprehensively. Rules such as herb application frequency and combination rules of the target prescription set were analyzed. The results showed that after screening and standardization, 116 prescriptions were included in the set which including 1 269 herbs and involving 17 types of 212 herbs. It was concluded that TCM paid attention to strengthen body resistance in gastric cancer treatment. It can also be combined with drugs for invigorating blood circulation and stasis, heat-clearing and detoxification, dispersing phlegm and stasis, as well as regulating qi stagnation depending on the syndrome.

江苏省教育厅高等教育教改重点项目（2011JSJG038）：模拟处方与方证辨识实训平台建设的研究与实践，负责人：樊巧玲。