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Study on Compatibility of Taiyang Disease Drug by Structural Partial-Ordered Attribute Diagram and Association Rules Analysis

机译:结构局部有序属性图和关联规则分析的太阳病毒药物兼容性研究

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This paper presents a method of discovering the selection law for compatibility of medicines in prescriptions base on the theory of Structural Partial-Ordered Attribute Diagram and Association rules analysis. First, we deal with the decision formal context of 68 prescriptions about Taiyang disease syndrome in "Treatise on Cold Pathogenic Diseases" based on principle of the optimization. Then, we generate a new partial-order attribute diagram in order to get the minimum reduction and rule acquisition. Finally, we base on association rules mining to the law of coordination and properties of partial order structure graph in each drug of the location of the contrast, rule extraction and knowledge discovery. It was concluded that the method proposed in this paper works well in treating of the disease of drug compatibility for data analysis and summarizing the law of drug compatibility. The method plays a great significant role for providing a scientific and advanced technological means in the heritage of Traditional Chinese Medicine.
机译:本文介绍了一种在结构部分有序属性图和关联规则分析理论上发现了处方药中药物兼容性的选择法。首先,我们处理68例关于太阳病综合征的68例规定的决定正式背景;在冷致病性疾病上论述"基于优化原则。然后,我们生成一个新的部分订单属性图,以获得最小的减少和规则采集。最后,我们基于协会规则挖掘对比度,规则提取和知识发现的每个药物中部分秩序结构图的协调和性质的协调和性质。得出结论是,本文提出的方法适用于治疗数据分析的药物兼容性和总结药物相容法的疾病。该方法对在中医遗产中提供科学和先进的技术手段来说起着重要作用。

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