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Knowledge Discovery of Prescriptions and Similar Prescriptions of Guizhi Decoction Based on Structural Partial-Ordered Attribute Diagram

机译:基于结构偏序属性图的桂枝汤处方及类似处方知识发现

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As a new tool of data analysis and knowledge processing, formal concept analysis has drawn more and more attention in various fields. This research focuses on prescriptions of GuiZhi Decoction, which is from Zhongjing Zhang's Treatise on Cold Pathogenic Diseases. First, we constructed the database for prescriptions of GuiZhi Decoction based on the prescriptions' names, the concept extraction and formal expression. Then we generate the formal context and optimized it by use of the mathematical theory of formal concept analysis and the relationship between prescriptions and herbs in database. In the formal context, the prescriptions are objects and the herbs are attributes. Next the structural partial-ordered attribute diagram is generated, so as to visualize the knowledge of prescriptions of GuiZhi Decoction. Finally, through the analysis of structural partial-ordered attribute diagram, more comprehensive, objective and multileveled knowledge are discovered.
机译:形式概念分析作为数据分析和知识处理的一种新工具,在各个领域受到越来越多的关注。这项研究的重点是桂枝汤的处方,该处方摘自张仲景的《冷病原病论》。首先,我们根据处方名称,概念提取和形式表达,建立了归智汤处方数据库。然后,我们使用形式概念分析的数学理论以及数据库中处方与草药之间的关系,生成形式上下文并对其进行优化。在形式上,处方是客体,草药是属性。接下来,生成结构偏序属性图,以可视化桂枝汤的处方知识。最后,通过对结构性偏序属性图的分析,发现了更全面,客观和多层次的知识。

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