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The Application and Research of the Multi-way Heterogeneous Clustering to the Traditional Chinese Medicine Clinical Data

Author: QinJian
Tutor: YuJian
School: Beijing Jiaotong University
Course: Computer Science and Technology
Keywords: TCM clinical data Heterogeneity clustering Mutual information Similarity modeling
CLC: TP399-C8
Type: Master's thesis
Year: 2009
Downloads: 43
Quote: 0
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Abstract


Recent decades, with the rapid development of computer technology , more and more data is stored in the computer , but due to lack of effective tools found potential rules and information from a large number of data , the data can not be used effectively . wasted a lot of opportunities to acquire knowledge . Then presented with the data mining technology , people have the opportunity to be found in the vast amounts of data they want knowledge . Chinese medicine is based on clinical medicine based disciplines, TCM clinical data has a complex relationship , and contains a large amount of medical knowledge . TCM clinical data involving many attributes , including patients , symptoms , medication information , and efficacy information , drug classification information, and so on . Taking into account property characteristics TCM clinical data in a variety of heterogeneous clustering analysis is expected to find feasible method of implicit structure of knowledge in TCM clinical data , this paper conducted a preliminary experiment and explore . The papers make the work contains the following aspects : 1. Introduced by the lack of traditional clustering methods , a more novel heterogeneous clustering algorithm and a wider range of applications and heterogeneous clustering algorithm to solve the multi- relationship data clustering features highlights two different multi-channel heterogeneous clustering method to highlight the advantages of multiplex heterogeneous clustering algorithm to deal with such problems on . Combined TCM clinical data set to be taken into account a variety of information on the clinical data of patients - symptoms , symptoms - drugs, drugs - pharmacodynamic , and the establishment of two relevant models : attribute similarity between the model and consider different influencing factors related degrees within the class model . 3 . Heterogeneous clustering algorithm applied to the clinical data , multi-channel clustering algorithm based on the data model design , and, ultimately, on clinical data clustering results , verify the correct multiple clustering algorithm and preliminary findings TCM clinical data the implicit structure knowledge provides a theoretical basis for clinical diagnosis .

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