Paper Info
Title
The role of prototypical cases in biomedical case-based reasoning
Abstract
Representing biomedical knowledge is an essential task in biomedical informatics intelligent systems. Case-based reasoning (CBR) holds the promise of representing contextual knowledge in a way that was not possible before with traditional knowledge representation and knowledge-based methods. A main issue in biomedical CBR has been dealing with maintenance of the case base, and particularly in medical domains, with the rate of generation of new knowledge, which often makes the content of a case base partially obsolete. This article proposes to make use of the concept of prototypical case to ensure that a CBR system would keep up-to-date with current research advances in the biomedical field. It proposes to illustrate and discuss the different roles that prototypical cases can serve in biomedical CBR systems, among which to organize and structure the memory, to guide the retrieval as well as the reuse of cases, and to serve as bootstrapping a CBR system memory when real cases are not available in sufficient quantity and/or quality. This paper presents knowledge maintenance as another role that these prototypical cases can play in biomedical CBR systems.
Year
DOI
Venue
2007
10.1007/978-3-540-73435-2_15
Industrial Conference on Data Mining
Keywords
Field
DocType
biomedical field,cbr system,prototypical case,biomedical informatics,case base,biomedical knowledge,biomedical case-based reasoning,contextual knowledge,cbr system memory,biomedical cbr system,biomedical cbr,knowledge base,traditional knowledge,case base reasoning
Data mining,Traditional knowledge,Intelligent decision support system,Bootstrapping,Computer science,Reuse,Knowledge maintenance,Case base,Health informatics,Case-based reasoning
Conference
Volume
ISSN
Citations 
4597
0302-9743
0
PageRank 
References 
Authors
0.34
18
1
Name
Order
Citations
PageRank
Isabelle Bichindaritz153255.74