基于数据挖掘的古方药酒原料与功效研究

Research on Crude Drug and Function of Ancient Prescription Medicinal Liquor Based on Data Mining

古方药酒是传统药食同源文化的组成部分,是劳动人民与疾病斗争中积累的宝贵财富。为全面梳理中医古籍中有关药酒的研究,本文以古籍中收录的290个药酒成方为数据源,通过建立单数据库、聚类分析、关联规则分析等方法,研究古代药酒的原料与功效之间的关系。结果表明:药酒原料来源丰富,植物性原料占绝对优势,总体原料产地多居于西南;由于多种因素的影响,原料的功效难以确认;古方药酒主要的功效是防治风湿痹病。数据挖掘技术可以在大量的药酒古方中寻找配伍规律,开发利用更多具有潜在药用价值的酒方,为古方药酒的继承与创新提供依据。Medicinal liquor is an integral part of the traditional medicine and food homologous culture, and it is a valuable asset accumulated by the laboring people in their struggle against diseases. In order to overview the research on medicinal liquor in ancient Chinese medical books, this paper takes 290 medicinal liquor prescriptions contained in the ancient books as the data source and studies the relationship between the raw materials and efficacy of ancient medicinal liquor by establishing a single database, cluster analysis, and association rule analysis, among other methods. It was shown that the source of medicinal liquor raw materials was rich, with plant raw materials being dominant and the overall raw material origin mostly being in the Southwest. The efficacy of the raw materials is difficult to confirm due to multiple factors. The main effect of ancient medicinal liquor is to prevent and treat rheumatism. Data mining technology can find compatibility rules in a large number of ancient prescriptions for medicinal liquor, develop and utilize more liquor prescriptions with potential medicinal value, and provide a basis for the inheritance and innovation of ancient prescriptions for medicinal liquor.