Source:http://linkedlifedata.com/resource/pubmed/id/16198328
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
7-8
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| pubmed:dateCreated |
2006-5-31
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| pubmed:abstractText |
In many medical fields, maintenance, comparison and aggregation of unambiguous terminologies go through formal specialized clinical terminologies: ontologies. We describe a methodology to build medical ontology from textual reports using a natural language processing tool, the SYNTEX software. The methodology is illustrated in the surgical intensive care medical domain. We have tested the possibility for an expert to build a sizeable ontology in a reasonable time. The quality of the ontology has been evaluated according to its capacity to cover the ICD-10 terminology in the field. Finally, the methodology itself is discussed.
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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 |
0010-4825
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
36
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
857-70
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| pubmed:dateRevised |
2007-11-15
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| pubmed:meshHeading |
pubmed-meshheading:16198328-Humans,
pubmed-meshheading:16198328-Intensive Care Units,
pubmed-meshheading:16198328-Medical Informatics,
pubmed-meshheading:16198328-Natural Language Processing,
pubmed-meshheading:16198328-Semantics,
pubmed-meshheading:16198328-Software,
pubmed-meshheading:16198328-Terminology as Topic,
pubmed-meshheading:16198328-Vocabulary, Controlled
|
| pubmed:articleTitle |
Building medical ontologies by terminology extraction from texts: an experiment for the intensive care units.
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| pubmed:affiliation |
INSERM, U729, F-75006 Paris, France. jean.charlet@spim.jussieu.fr
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| pubmed:publicationType |
Journal Article
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