| pubmed-article:12463860 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C0185115 | lld:lifeskim |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C1527021 | lld:lifeskim |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C0086476 | lld:lifeskim |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C0028275 | lld:lifeskim |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C1707059 | lld:lifeskim |
| pubmed-article:12463860 | lifeskim:mentions | umls-concept:C1518584 | lld:lifeskim |
| pubmed-article:12463860 | pubmed:dateCreated | 2002-12-4 | lld:pubmed |
| pubmed-article:12463860 | pubmed:abstractText | In many medical fields, the maintenance of unabiguous terminologies, the comparison and aggregation of different terminologies go through the building of formal specialized clinical terminologies, the ontologies. In this paper, we describe the building of an ontology in the surgical intensive care medical domain. We considered textual reports as the main source of information and a natural language processing tool, the SYNTEX software, is used to build the ontology. 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. Examples of coding activity with the ontology are proposed and discussed. | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:language | eng | lld:pubmed |
| pubmed-article:12463860 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12463860 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:12463860 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:12463860 | pubmed:issn | 1531-605X | lld:pubmed |
| pubmed-article:12463860 | pubmed:author | pubmed-author:JaulentMarie-... | lld:pubmed |
| pubmed-article:12463860 | pubmed:author | pubmed-author:DegouletPatri... | lld:pubmed |
| pubmed-article:12463860 | pubmed:author | pubmed-author:Le... | lld:pubmed |
| pubmed-article:12463860 | pubmed:author | pubmed-author:CharletJeanJ | lld:pubmed |
| pubmed-article:12463860 | pubmed:author | pubmed-author:BourigaultDid... | lld:pubmed |
| pubmed-article:12463860 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:12463860 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:12463860 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:12463860 | pubmed:pagination | 430-4 | lld:pubmed |
| pubmed-article:12463860 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:meshHeading | pubmed-meshheading:12463860... | lld:pubmed |
| pubmed-article:12463860 | pubmed:year | 2002 | lld:pubmed |
| pubmed-article:12463860 | pubmed:articleTitle | Terminology extraction from text to build an ontology in surgical intensive care. | lld:pubmed |
| pubmed-article:12463860 | pubmed:affiliation | SPIM, UFR Broussais-Hôtel-Dieu, SPIM, 75006 Paris, France. | lld:pubmed |
| pubmed-article:12463860 | pubmed:publicationType | Journal Article | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:12463860 | lld:pubmed |
