A method of attribute partial ordered structure diagram for the composition structures of prescription and knowledge discovery

作者：Fan Fengjie^*; Hong Wenxue; Song Jialin; Li Shaoxiong; Zheng Cunfang

来源：ICIC Express Letters, 2016, 10(3): 593-600.

• Compatibility of prescription
• Composition structure
• Data mining methods
• Data mining technology
• Ordered structures
• Prescription drugs
• Traditional Chinese Medicine
• Visualization method

Data mining can find out the potential valuable information from massive data. It is one of the most active research fields. With the development of data mining technology and traditional Chinese medicine information system, many data mining methods have been applied to traditional Chinese medicine research. Because of the hugeness and complexity of data, it is difficult to study the compatibility of Chinese medicine formulae. In this paper, a visualization method of attribute partial ordered structure diagram for the prescription compatibility is proposed based on the formal concept analysis theory. Formula data was chosen from the classic medical books of Zhang zhongjing prescription, and composition structures of prescription-drug, syndrome-drug were analyzed by attribute partial ordered structure diagram. The result shows that the attribute partial ordered structure diagram provides a new method to discover the new knowledge of prescription compatibility.

• 出版日期2016
• 单位东北大学