文章基本信息

标题：Similarity Measure in the Case-Based Reasoning Systems for Medical Diagnostics in Traditional Medicine
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作者：Odilon Yapo M. Achiepo ; Behou Gérard N'guessan ; Konan Marcellin 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2015
卷号：12
期号：2
出版社：IJCSI Press
摘要：The Case-Based Reasoning (CBR) is a problem solving paradigm based on the reuse of past experiences stored in a cases base. The CBR has been used in many industrial systems to solve problems in various fields including medical diagnosis. In CBR systems, the concept of similarity is very important because it is the basis for the entire system. However, the effectiveness of similarity measures used depends on the problem being addressed. In this paper, we propose a measure of similarity for the development of CBR systems automatically diagnose diseases appropriate to the field of traditional medicine.
关键词：Case;Based Reasoning; medical diagnostics; traditional medicine; similarity measures