中国中医药信息杂志Issue(10)：39-42,4.DOI:10.3969/j.issn.1005-5304.2014.10.012
基于数据挖掘的国医大师颜正华含茯苓处方用药规律研究
Analysis on Medication Rules of State Medical Master Yan Zhenghua from the Prescriptions Containing Poria Based on Data Mining
摘要
Abstract
Objective To explore the medication rules of state medical master Yan Zhenghua from the prescriptions. Methods After analyzed by the statistical report module and the data analysis module, the method of data-mining that including association rules and apriori algorithm was used to analyze the frequency of Poria and drug combination, the association rules between drugs and core drug combinations in Pro. Yan’s prescriptions via a database based on Traditional Chinese Medicine (TCM) inheritance assist system. Results The prescriptions containing Poria were commonly used to treat vertigo, stomachache, diarrhea and other syndromes. The highest frequently used drugs were Pericarpium Citri Reticulatae, Radix Paeoniae Rubra, Radix Salviae Miltiorrhizae, Parched Semen Ziziphi Spinosae, and Caulis Polygoni Multiflori. The most frequently used drug combinations were “Pericarpium Citri Reticulatae, Poria”, “Radix Salviae Miltiorrhizae, Poria”, and“Poria, Parched Semen Ziziphi Spinosae”. The drug association rules that the confidence coefficient was more than 0.9 were “Carina→Oyster”, “Poria, Carina→Oyster”,“Oyster, Caulis Polygoni Multiflori→Carina”, and“Rhizoma Atractylodis Macrocephalae→Poria”. Conclusion The drugs in the prescriptions containing Poria that built by Pro. Yan mostly had the effects of regulating the flow of qi, relieving uneasiness of body and mind, and cooling the blood, which reflected the clearly thought when Pro. Yan made the prescriptions.关键词
颜正华/名医经验/茯苓/数据挖掘/关联规则Key words
Yan Zhenghua/famous doctors’ experience/Poria/data mining/association rules分类
医药卫生引用本文复制引用
吴嘉瑞,郭位先,张冰,张晓朦,杨冰,赵梦迪,盛晓光..基于数据挖掘的国医大师颜正华含茯苓处方用药规律研究[J].中国中医药信息杂志,2014,(10):39-42,4.基金项目
国家科技支撑计划(2007BAI10B01)；北京市自然科学基金(7112075)；北京市中医药科技发展基金(JJ-2010-70)；北京中医药大学自主课题(JYB22-JS020)；北京中医药大学科研创新团队项目(2011-CXTD-14) （2007BAI10B01）
