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The Application Simulation Of The Data Mining In The Curing Of Diabetes Mellitus With Traditional-Chinese Medicine Prescription

Posted on:2007-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:D D ZhaoFull Text:PDF
GTID:2178360185490791Subject:Computer technology
Abstract/Summary:PDF Full Text Request
As a new data technology, the data mining becomes perfect with the development of the database technology step by step. The data mining task is to find the hidden relation and regularity in the data from the large database and offer help to the specialist. The data mining technology has been used in many areas. And it was just used in the area of iatrology, but would have a good future.The culture of the China which has five thousands history is the base of the development of Traditional-Chinese medicine. In recent years, the modernization research of Traditional-Chinese medicine not only is the emphasis of the research of Traditional-Chinese medicine, but also the emphasis of other subjects, such as chemistry and pharmacy. With thousands years of experience, Traditional-Chinese medicine has already has huge amount of data. The great deal of the hidden beneficial information in traditional-Chinese medicine prescription is rarely used and mined sufficiently. It largely oversteps the ability of the human to understand and analysis these data only depending on the artificial operation. Now the database system can efficiently implement the function of the record, the query and the statistic of the data, but cannot discover the relation and regularity in the data. And the data mining technology that develops rapidly can bring it come to true.With the progress and development of the socio-economic level, the disease tree, which threatens human health, is changing. The chromic non-infectious disease is becoming the primary disease that threatens human being, especially for aged people. The most significant example is...
Keywords/Search Tags:data mining, Traditional-Chinese medicine prescription, diabetes mellitus, association rules, Cluster Analysis
PDF Full Text Request
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