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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
1996-3-4
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pubmed:abstractText |
The overall goal of MENELAS is to provide better access to the information contained in natural language patient discharge summaries (PDSs), through the design and implementation of a prototype able to analyse medical texts. The approach taken by MENELAS is based on the following key principles: (i) to maximise the usefulness of natural language analysis and the usability of its results, the output of natural language analysis must be a normalised conceptual representation of medical information; and (ii) to maximise the reuse of resources, language analysis should be domain-independent and conceptual representation should be language-independent. This paper discusses the results obtained and the issues raised when implementing these principles during the project.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/8563301-7889741,
http://linkedlifedata.com/resource/pubmed/commentcorrection/8563301-7920967,
http://linkedlifedata.com/resource/pubmed/commentcorrection/8563301-8130568,
http://linkedlifedata.com/resource/pubmed/commentcorrection/8563301-8591201
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
0195-4210
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
357-61
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:8563301-Artificial Intelligence,
pubmed-meshheading:8563301-Computer Systems,
pubmed-meshheading:8563301-Humans,
pubmed-meshheading:8563301-Information Storage and Retrieval,
pubmed-meshheading:8563301-Medical Records Systems, Computerized,
pubmed-meshheading:8563301-Natural Language Processing,
pubmed-meshheading:8563301-Patient Discharge,
pubmed-meshheading:8563301-User-Computer Interface,
pubmed-meshheading:8563301-Vocabulary, Controlled
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pubmed:year |
1995
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pubmed:articleTitle |
A multi-lingual architecture for building a normalised conceptual representation from medical language.
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pubmed:affiliation |
DIAM--INSERM U.194, Hôpitaux de Paris.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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