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

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.