Research on extracting medical diagnosis rules based on rough sets theory

被引:0
作者
Xu, YH [1 ]
Jiang, WJ [1 ]
Xu, YS [1 ]
机构
[1] Zhuzhou Inst Technol, Dept Informat & Comp Sci, Zhuzhou 412008, Peoples R China
来源
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词
rough sets; medicine diagnosis rules; continuous information system; discretization; rules acquirement;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Analysis of how to extract medical diagnosis rules from medical cases. Based on the rough set theory, a way of acquiring knowledge is introduced. Using this theory, we analyze the data, propose some possible rules and reveal an optimized probability formula. The steps of implementation, which includes the continual information discretization system, information reduction system, decision acquirement rules, decision model generation, etc., are explained through case study. In the end, the whole process of knowledge acquirement is discussed, which can effectively solve the choke point problem of acquiring knowledge in the expert system. At the same time, it also provides a new way to solve the application of artificial intelligence technology in the field of medicinal diagnosis.
引用
收藏
页码:3713 / 3718
页数:6
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