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《Journal of Anhui University of Technology and Science(Natural Science)》 2007-03
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Application of data mining in medical diagnosis data

YE Ming-quan(Comp.Staff.Room.,WanNan Medical College,Wuhu 241000,China)  
It was found that the precision and speed of medical diagnosis is unsatisfactory due to large-scale repeating data and redundant attributes in medical data in practice.To solve the problem,a new model based on rough set and decision tree ID3 is presented.The theory of rough set reduces the initial sample sets,while the decision tree ID3 is used to learn quickly the reduced decision tables and form a tree classifier.An example is given to show the validity and practicability of the new mode1.
【Fund】: 安徽省教育厅自然科学基金资助项目(2005kj094)
【CateGory Index】: TP311.13
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