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The paper introduces the idea of data mining on the basis of analyzing sub-health status quo and existing defects. An influencing-factor-model of sub-health state has been established with the help of the Microsoft decision trees technology, after evaluation, its accuracy rate reaches up to 89.81%. This model serves an important reference for the sub-health diagnosis, prevention and treatment, thus...
The development of database technology has solved the memory and retrieval of substantive data, but the biomedicine database existing the phenomenon of “data rich, information poor”. In order to solve the problem of Knowledge Discovery in Database, great importance has been continuously attached to the data mining. In this paper, we elaborate the Particularities and Key issues of data mining in biomedicine,...
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