Case-Based Reasoning: Problems And Importance Of Similarity Measure

被引:2
|
作者
Chourib, Ikram [1 ,2 ]
Guillard, Gwenael [3 ]
Mestiri, Makram [1 ]
Solaiman, Basel [2 ]
Farah, Imed Riadh [1 ]
机构
[1] Natl Inst Comp Sci, RIADI Lab, Manouba, Tunisia
[2] IMT Atlantique, ITI Lab, Manouba, Tunisia
[3] Intradys, Brest, France
来源
2020 5TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP'2020) | 2020年
关键词
Knowledge base; case base; Medical reasoning; Case-based reasoning; Similarity measure;
D O I
10.1109/atsip49331.2020.9231755
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article attempts to provide an overview of the basic concepts, structure and terms related to case-based reasoning, because we aim to work on an evolution of the CBR process which allows us to integrate the knowledge base, ensure the consistency of information, integrate the modes of reasoning: similarity, classification and hybrid. In addition, this article discusses the concept and issues related to similarity measure, which is very important in medical system and using it allows to reduce the risks of health error for patients. However, it seems very complex because the measure of similarity must take into account the diversity of the types of information (qualitative, textual, quantitative, etc.) for each patient. And at the end, we represent an evaluation of similarity measure which was applied in (GS.52).
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页数:6
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