Title :
A Novel Knowledge Discovery Method for the Kidney Disease Diagnosis in TCM Based on Attribute Hierarchical Graphs
Author :
Hong, Wenxue ; Zhao, Xiaolei ; Chen, Wendong ; Liu, Xulong ; Song, Jialin ; Jin, Hailong ; Yu, Jianping ; Ma, Yuan
Author_Institution :
Biomed. Eng. Dept., Yanshan Univ., Qinhuangdao, China
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.
Keywords :
data mining; diseases; formal concept analysis; graph theory; kidney; medical computing; patient diagnosis; TCM; attribute hierarchical graphs; formal concept analysis; formal context; hierarchical optimization; kidney disease diagnosis; knowledge discovery; traditional chinese medicine; Blood; Context; Diseases; Fluids; Kidney; Medical diagnostic imaging; Optimization; Formal Concept Analysis; attribute hierarchical graphs; kidney disease; knowledge discovery;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.37
