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基于数据挖掘的中药防治硬皮病规律研究 被引量:9

Compatibility Rules of Traditional Chinese Medicine in Prevention and Treatment of Scleroderma Based on Data Mining
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摘要 目的:探讨中药防治硬皮病的特点及组方规律。方法:建立临床防治硬皮病中药及方剂文献数据库,采用数据挖掘的关联规则对其用药特点及组方规律进行系统分析。结果:淤单味药黄芪、当归、丹参出现的频率最高;药类以补虚药、活血化瘀药和解表药出现频次最高。于防治硬皮病常用方剂为阳和汤;常用药对为桂枝—黄芪、红花—黄芪;常用药组为首乌、鸡血藤—丹参,首乌、桂枝—丹参,首乌、黄芪—丹参,熟地、党参—红花,熟地、党参—桂枝,党参、赤芍—桂枝;常用药团为桂枝、甘草、黄芪、党参。结论:中医防治硬皮病用药规律的研究,为临床防治硬皮病选药组方奠定理论基础。 This study was aimed to analyze compatibility rules of Chinese drugs and prescription design in the pre-vention and treatment of scleroderma. The database of scleroderma treated by Chinese medicine was set up. And then, association rules were used to analyze the prescription compatibility rules. The results showed the highest fre-quency of drugs in the treatment of scleroderma were Astragalus, Angelica sinensis and Salvia. The tonifying and re-plenishing medicinal, blood-activating and stasis-resolving medicinal and exterior-releasing medicinal were with the highest frequency. The commonly used formula in the treatment of scleroderma was Y ang-He decoction. For herbal groups, occurrence of the highest was the combinations of Ramulus Cinnamomi-Astragalus and Carthamus tinctorius L.-Astragalus. Three kinds of herbals were commonly coupled, such as Polygonum multiflorum Thunb. and Caulis Spatholobi with Salvia, P. multiflorum Thunb. and R. Cinnamomi with Salvia, P. multiflorum Thunb. and Astragalus with Salvia, prepared Radix Rehmanniae and Codonopsis with C. tinctorius L., prepared Radix Rehmanniae and Codonopsis with R. Cinnamomi, Codonopsis and Radix paeoniae rubra with R. Cinnamomi. Four kinds of herbals such as R. Cinnamomi, Glycyrrhiza uralensis Fisch., Astragalus and Codonopsis were commonly coupled. It was con-cluded that compatibility rules of Chinese medicine in the prevention and treatment of scleroderma laid the founda-tion for herbal medicine selection and prescription design.
出处 《世界科学技术-中医药现代化》 北大核心 2014年第9期1922-1926,共5页 Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金 国家中医药管理局国际科技合作项目(2013DFG31080):基于靶标发现技术的治疗自身免疫性疾病中药的合作研究 负责人:李继安
关键词 硬皮病 数据挖掘 关联规则 免疫性疾病 Scleroderma data mining association rules immune diseases
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