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

机译:结构偏序属性图与关联规则分析研究太阳病药物的相容性

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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:本文基于结构偏序属性图和关联规则分析的理论,提出了一种发现处方药相容性选择规律的方法。首先,基于优化原则,对《感冒病性病论治》中关于太阳病综合症的68种处方的决策形式背景进行了研究。然后,我们生成一个新的偏序属性图,以获得最小化约简和规则获取。最后,我们在关联规则挖掘的基础上,以协调律和部分序结构图的性质在每种药物中的位置进行对比,规则提取和知识发现。结论是,本文提出的方法在治疗药物相容性疾病的数据分析和总结药物相容性规律方面效果很好。该方法在中医药传统中提供科学和先进的技术手段具有重要作用。

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