| Intelligent knowledge retrieval for decision support in medical applications. | |
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MedLine Citation:
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PMID: 11604790 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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M Montani; R Bellazzi |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 84 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2001 |
Date Detail:
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Created Date: 2001-10-17 Completed Date: 2002-01-08 Revised Date: 2008-07-10 |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 498-502 Citation Subset: IM |
Affiliation:
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Dipartimento di Informatica e Sistemistica, Università di Pavia, 27100 Pavia, Italy. stefania@aim.unipv.it |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence* Decision Making, Computer-Assisted* Decision Support Systems, Clinical Diabetes Mellitus / therapy* Humans Information Storage and Retrieval |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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