Document Detail

How to use contextual knowledge in medical case-based reasoning systems: A survey on very recent trends.
MedLine Citation:
PMID:  21036566     Owner:  NLM     Status:  In-Data-Review    
OBJECTIVES: This paper aims at systematizing the ways in which the contextual knowledge embedded in the case library can support decision making, within case-based reasoning (CBR) systems. In particular, CBR applications to the medical domain are considered.
METHODS AND MATERIAL: After a quick survey on the definition and on the role of context in artificial intelligence research, we have focused on CBR, with a particular emphasis on medical applications. In this field, we have identified a number of very recent contributions, which strongly recognize context per se as a major knowledge source. These contributions propose to maintain and to rely on contextual information, in order to support human reasoning in different fashions.
RESULTS: We have distinguished three main directions in which contextual knowledge can be resorted to, in order to optimize physicians' decision making. Such directions can be summarized as follows: (1) to reduce the search space in the case retrieval step; (2) to maintain the overall knowledge content always valid and up to date, and (3) to adapt knowledge application and reasoning to local/personal constraints. We have also properly categorized the surveyed works within these three clusters, and identified the most significant ones, able to exploit contextual knowledge along more than one direction.
CONCLUSIONS: Innovative applications of the contextual knowledge recorded in the case library, described and systematized in this paper, can trace promising research directions for the future.
Stefania Montani
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Publication Detail:
Type:  Journal Article     Date:  2010-10-30
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  51     ISSN:  1873-2860     ISO Abbreviation:  Artif Intell Med     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-03-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  125-31     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier B.V. All rights reserved.
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