A Novel Knowledge Discovery Method for the Kidney Disease Diagnosis in TCM Based on Attribute Hierarchical Graphs
IMCCC '11 Proceedings of the 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control（2011）
Abstract
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.
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Key words
novel knowledge discovery method,diseases,attribute hierarchical graph,kidney disease diagnosis,formal concept analysis,formal context,tcm,former literature research,hierarchical graph,hierarchical optimization,kidney disease,traditional chinese medicine,kidney,knowledge discovery,data mining,graph theory,medical computing,hierarchical optimization formal context,attribute hierarchical graphs,patient diagnosis,diagnosis knowledge,new method,fluids,diagnostic imaging,optimization
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