Abstract:Objective To investigate the medication rules of famous senior Chinese physician in the treatment of coronary heart disease. Methods The prescriptions about famous senior Chinese physician in the treatment of coronary heart disease were collected, the database was built based on traditional Chinese medicine (TCM) inheritance assist system software platform. Apriori algorithm and complex system entropy cluster were used to analyze the utilizing frequency of all drugs in the prescription and couplet medicines and the association rules, prescription principles between different medicines. Results Totally 985 drugs were enrolled, the frequently adopted drugs were Salvia Miltiorrhiza, Rhizoma Chuanxiong, Poria Cocos, Radix Astragali, Fructus Trichosanthis, and so on; and the frequently adopted drug combinations were "Rhizoma Chuanxiong, Salvia Miltiorrhiza" "Salvia Miltiorrhiza, Radix Astragali" "Salvia Miltiorrhiza, Fructus Trichosanthis", and so on. The drug combinations with association rules >0.7 included "Corydalis Rhizoma->Salviae Miltiorrhiza" "Salviae Miltiorrhiza, Longstamen Onion Bulb->Fructus Trichosanthis" "Longstamen Onion Bulb->Fructus Trichosanthis" "Chinese Magnoliavine, Salvia Miltiorrhiza->Dwarf Lilyturf Tuber", etc. 36 groups of core group were excavated, and 18 new prescriptions were obtained. Conclusion Famous senior Chinese physician in the treatment of coronary heart disease often use the drugs of activating circulation to remove blood stasis, tonifying qi and relaxing vein, reducing phlegm and resolving masses, which reflects a refined and rational compatibility and the principles of TCM to treat symptoms and root causes. This study has reference value for clinic, and TCM inheritance assist system is valuable to explore the medication rules of famous senior Chinese physician.
郑昆 吴嘉瑞 张非非. 基于数据挖掘的中医治疗冠心病用药规律研究[J]. 中国医药导报, 2017, 14(36): 113-116.
ZHENG Kun WU Jiarui ZHANG Feifei. Study on medication rules of traditional Chinese medicine in the treatment of coronary heart disease based on data mining. 中国医药导报, 2017, 14(36): 113-116.