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A Novel Knowledge Discovery Method for the Kidney Disease Diagnosis in TCM Based on Attribute Hierarchical Graphs

机译:基于属性层次图的中医肾脏疾病诊断知识发现新方法

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摘要

On the basis of the theory of formal concept analysis (FCA), we proposed a new method based on hierarchical optimization formal context for generating attribute hierarchical graphs in this paper. By this method, we optimize the formal context of kidney disease, than build an attribute hierarchical graph, and discover the diagnosis knowledge in Traditional Chinese Medicine (TCM) at last. Finally, by combing former literature research we would like to show the availability and effectiveness of the proposed method.
机译:本文在形式概念分析理论的基础上,提出了一种基于层次优化形式上下文的属性层次图生成方法。通过这种方法,我们优化了肾脏疾病的形式背景,而不是建立属性层次图,并最终发现了中医的诊断知识。最后,通过结合以前的文献研究,我们想证明所提出方法的有效性和有效性。

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