基于关联规则挖掘的中药治疗心血管疾病组分配伍规律研究

通过数据挖掘,揭示组分与组分、组分与证型的关系,从组分层面解析中药治疗心血管疾病的配伍规律,为中医临床基于病证结合采用组分中药治疗疾病提供依据。通过对近20年期刊文献数据中关键点的采集及结构化加工,采用关联规则挖掘算法,对治疗心血管疾病的中药(中药材/饮片)、中成药及相关组分的研究结果进行挖掘分析。结果筛选出与临床治疗心血管疾病关联度较高的组分配伍,发现了新的配伍形式,印证或推测出构成单味中药和中药复方的药效物质基础和/或可能的组分配伍,揭示组分配伍与疾病、中医证型之间的关联关系。基于关联规则挖掘,可为组分配伍与优化提供新的思路和方法,为组分中药研发提供技术支撑。

Study on component compatibility regularity of Chinese material medica in treatment of cardiovascular diseases based on association rules mining

To reveal the relationship between components and components, components and syndromes based on data mining. Analyzing the component compatibility regularity in treatment of cardiovascular diseases from the component level provides the basis for treating the diseases with multi-component Chinese medicine based on the combination of syndrome and symptom in Chinese medicine clinic. Through the collection and structural processing of the key points in the literature data in recent 20 years, the mining results of Chinese material medica (Chinese medicinal materials/decoction pieces), Chinese patent medicine and related components for the treatmet of cardiovascular diseases were analyzed by association rules mining algorithm. The component compatibilities for treating cardiovascular diseases with a higher correlation were screened out. New component compatibility forms were found. The effective substances and/or possible component compatibility of single herb and Chinese herbal compound were confirmed or speculated. The relationship between components compatibility and diseases, components and syndromes were revealed. Based on association rules mining, it can provide new ideas and methods for component compatibility and optimization, and provide technical support for the research and development of component Chinese medicine.