Document Detail


Intelligent knowledge retrieval for decision support in medical applications.
MedLine Citation:
PMID:  11604790     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Knowledge management and retrieval are key issues to be addressed in the medical domain, where a large amount of information is generally available, and where the expert's skills need to be properly shared across the organisation, with the aim of improving the quality of care. Case Based Reasoning (CBR) is a very well suited methodology for the Knowledge Management task, when knowledge is in the operative form. Nevertheless, also well-assessed, formalised medical knowledge, such as clinical guidelines, should be made available to physicians in order to optimise their reasoning process. To take advantage of both knowledge types, we have defined a Multi Modal Reasoning methodology, that integrates CBR and Rule Based Reasoning, for supporting context detection, information retrieval and therapy revision in diabetes care.
Authors:
M Montani; R Bellazzi
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  84     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2001  
Date Detail:
Created Date:  2001-10-17     Completed Date:  2002-01-08     Revised Date:  2008-07-10    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  498-502     Citation Subset:  IM    
Affiliation:
Dipartimento di Informatica e Sistemistica, Università di Pavia, 27100 Pavia, Italy. stefania@aim.unipv.it
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Decision Making, Computer-Assisted*
Decision Support Systems, Clinical
Diabetes Mellitus / therapy*
Humans
Information Storage and Retrieval

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