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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">An Evolutionary Approach to the Representation of Adverse Events</title><author><name sortKey="Ceusters, Werner" sort="Ceusters, Werner" uniqKey="Ceusters W" first="Werner" last="Ceusters">Werner Ceusters</name><affiliation><nlm:aff id="A1">New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="Capolupo, Maria" sort="Capolupo, Maria" uniqKey="Capolupo M" first="Maria" last="Capolupo">Maria Capolupo</name><affiliation><nlm:aff id="A2">Independent Consultant, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Barry" sort="Smith, Barry" uniqKey="Smith B" first="Barry" last="Smith">Barry Smith</name><affiliation><nlm:aff id="A1">New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="De Moor, Georges" sort="De Moor, Georges" uniqKey="De Moor G" first="Georges" last="De Moor">Georges De Moor</name><affiliation><nlm:aff id="A3">Research in Advanced Medical Informatics and Telematics (RAMIT) vzw, University of Gent, Belgium</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21057717</idno><idno type="pmc">3103706</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103706</idno><idno type="RBID">PMC:3103706</idno><idno type="doi">10.3414/ME10-02-0016</idno><date when="2010">2010</date><idno type="wicri:Area/Pmc/Corpus">000322</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000322</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">An Evolutionary Approach to the Representation of Adverse Events</title><author><name sortKey="Ceusters, Werner" sort="Ceusters, Werner" uniqKey="Ceusters W" first="Werner" last="Ceusters">Werner Ceusters</name><affiliation><nlm:aff id="A1">New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="Capolupo, Maria" sort="Capolupo, Maria" uniqKey="Capolupo M" first="Maria" last="Capolupo">Maria Capolupo</name><affiliation><nlm:aff id="A2">Independent Consultant, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Barry" sort="Smith, Barry" uniqKey="Smith B" first="Barry" last="Smith">Barry Smith</name><affiliation><nlm:aff id="A1">New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo NY, USA</nlm:aff></affiliation></author><author><name sortKey="De Moor, Georges" sort="De Moor, Georges" uniqKey="De Moor G" first="Georges" last="De Moor">Georges De Moor</name><affiliation><nlm:aff id="A3">Research in Advanced Medical Informatics and Telematics (RAMIT) vzw, University of Gent, Belgium</nlm:aff></affiliation></author></analytic><series><title level="j">Methods of information in medicine</title><idno type="ISSN">0026-1270</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">One way to detect, monitor and prevent adverse events with the help of Information Technology is by using ontologies capable of representing three levels of reality: what is the case, what is believed about reality, and what is represented. We report on how Basic Formal Ontology and Referent Tracking exhibit this capability and how they are used to develop an adverse event ontology and related data annotation scheme for the European ReMINE project.</p></div></front></TEI><pmc article-type="research-article" xml:lang="en"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0210453</journal-id><journal-id journal-id-type="pubmed-jr-id">5788</journal-id><journal-id journal-id-type="nlm-ta">Methods Inf Med</journal-id><journal-title-group><journal-title>Methods of information in medicine</journal-title></journal-title-group><issn pub-type="ppub">0026-1270</issn></journal-meta><article-meta><article-id pub-id-type="pmid">21057717</article-id><article-id pub-id-type="pmc">3103706</article-id><article-id pub-id-type="doi">10.3414/ME10-02-0016</article-id><article-id pub-id-type="manuscript">NIHMS296601</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>An Evolutionary Approach to the Representation of Adverse Events</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ceusters</surname><given-names>Werner</given-names></name><xref ref-type="aff" rid="A1">a</xref><xref ref-type="corresp" rid="cor1">1</xref></contrib><contrib contrib-type="author"><name><surname>Capolupo</surname><given-names>Maria</given-names></name><xref ref-type="aff" rid="A2">b</xref></contrib><contrib contrib-type="author"><name><surname>Smith</surname><given-names>Barry</given-names></name><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>De Moor</surname><given-names>Georges</given-names></name><xref ref-type="aff" rid="A3">c</xref></contrib></contrib-group><aff id="A1"><label>a</label>New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo NY, USA</aff><aff id="A2"><label>b</label>Independent Consultant, Buffalo NY, USA</aff><aff id="A3"><label>c</label>Research in Advanced Medical Informatics and Telematics (RAMIT) vzw, University of Gent, Belgium</aff><author-notes><corresp id="cor1"><label>1</label>Corresponding Author: Werner Ceusters, Ontology Research Group, New York State Center of Excellence in Bioinformatics & Life Sciences, University at Buffalo, 701 Ellicott street, Buffalo NY, 14203, USA; <email>ceusters@buffalo.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>23</day><month>5</month><year>2011</year></pub-date><pub-date pub-type="epub"><day>8</day><month>11</month><year>2010</year></pub-date><pub-date pub-type="ppub"><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>1</month><year>2012</year></pub-date><volume>50</volume><issue>1</issue><fpage>62</fpage><lpage>73</lpage><abstract><p id="P1">One way to detect, monitor and prevent adverse events with the help of Information Technology is by using ontologies capable of representing three levels of reality: what is the case, what is believed about reality, and what is represented. We report on how Basic Formal Ontology and Referent Tracking exhibit this capability and how they are used to develop an adverse event ontology and related data annotation scheme for the European ReMINE project.</p></abstract><kwd-group><kwd>ontology</kwd><kwd>referent tracking</kwd><kwd>adverse events</kwd><kwd>patient safety</kwd></kwd-group><funding-group><award-group><funding-source country="United States">National Human Genome Research Institute : NHGRI</funding-source><award-id>U54 HG004028-01 || HG</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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