Architecture of a Medical Information Extraction System
Identifieur interne : 000989 ( Istex/Corpus ); précédent : 000988; suivant : 000990Architecture of a Medical Information Extraction System
Auteurs : Dalila Bekhouche ; Yann Pollet ; Bruno Grilheres ; Xavier DenisSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: We present in this article an innovative architecture of information extraction system applied to the medical domain. The content of documents (free texts) can be described or reduced to some relevant information. Our aim is to set a process in order to exploit efficiently the content of the documents. We will explain that the medical information extraction task can be analysed into three steps: Extraction “identify and extract a set of events and entities like date, names, medical terms”, Generation “create from these events and entities the relevant information”, Knowledge acquisition “validate and correct the extraction and generation results”. These analysis require to make various approaches in linguistic, statistic and artificial intelligent cooperate and use together specialised terminology as medical nomenclatures ICD-10 and CCMA and linguistic resources.
Url:
DOI: 10.1007/978-3-540-27779-8_35
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ISTEX:F85ACC713398EE382E95CF1CCA82F7DD5FFC21E5Le document en format XML
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University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-27779-8</BookID><BookTitle>Natural Language Processing and Information Systems</BookTitle><BookSubTitle>9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004. Proceedings</BookSubTitle><BookVolumeNumber>3136</BookVolumeNumber><BookSequenceNumber>3136</BookSequenceNumber><BookDOI>10.1007/b98754</BookDOI><BookTitleID>83297</BookTitleID><BookPrintISBN>978-3-540-22564-5</BookPrintISBN><BookElectronicISBN>978-3-540-27779-8</BookElectronicISBN><BookChapterCount>42</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2004</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18024" Priority="1" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18032" Priority="2" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Farid</GivenName><FamilyName>Meziane</FamilyName></EditorName><Contact><Email>f.meziane@salford.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Elisabeth</GivenName><FamilyName>Métais</FamilyName></EditorName><Contact><Email>metais@cnam.fr</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>School of Computing, Science and Engineering Newton Building</OrgDivision><OrgName>University of Salford</OrgName><OrgAddress><Postcode>M5 4WT</Postcode><City>Greater Manchester</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Lab. CEDRIC</OrgDivision><OrgName>CNAM</OrgName><OrgAddress><City>Paris</City><Country>France</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Short Papers</PartTitle><PartChapterCount>13</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Natural Language Processing and Information Systems</BookTitle></PartContext></PartInfo><SubPart ID="SubPart10"><SubPartInfo><SubPartID>10</SubPartID><SubPartSequenceNumber>10</SubPartSequenceNumber><SubPartTitle>Information Retrieval</SubPartTitle><SubPartChapterCount>4</SubPartChapterCount></SubPartInfo><Chapter ID="Chap35" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>35</ChapterID><ChapterDOI>10.1007/978-3-540-27779-8_35</ChapterDOI><ChapterSequenceNumber>35</ChapterSequenceNumber><ChapterTitle Language="En">Architecture of a Medical Information Extraction System</ChapterTitle><ChapterFirstPage>380</ChapterFirstPage><ChapterLastPage>387</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2004</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>2</PartID><BookID>978-3-540-27779-8</BookID><BookTitle>Natural Language Processing and Information Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18 Aff19"><AuthorName DisplayOrder="Western"><GivenName>Dalila</GivenName><FamilyName>Bekhouche</FamilyName></AuthorName><Contact><Email>dalila.Bekhouche@sysde.eads.net</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Yann</GivenName><FamilyName>Pollet</FamilyName></AuthorName><Contact><Email>pollet@cnam.fr</Email></Contact></Author><Author AffiliationIDS="Aff18 Aff19"><AuthorName DisplayOrder="Western"><GivenName>Bruno</GivenName><FamilyName>Grilheres</FamilyName></AuthorName><Contact><Email>bruno.grilheres@sysde.eads.net</Email></Contact></Author><Author AffiliationIDS="Aff18 Aff21"><AuthorName DisplayOrder="Western"><GivenName>Xavier</GivenName><FamilyName>Denis</FamilyName></AuthorName><Contact><Email>xavier.denis@operamail.com</Email></Contact></Author><Affiliation ID="Aff18"><OrgName>EADS DCS, d’Affaires des Portes</OrgName><OrgAddress><Postcode>27106</Postcode><City>Val de Reuil CEDEX</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>PSI Insa Rouen</OrgName><OrgAddress><Street>Place E. Blondel</Street><Postcode>76130</Postcode><City>Mont St Aignan</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>Conservatoire national arts & métiers CNAM</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>LIH – Université du Havre</OrgName><OrgAddress><Street>25 rue P. Lebon</Street><Postcode>76600</Postcode><City>Le Havre</City></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>We present in this article an innovative architecture of information extraction system applied to the medical domain. The content of documents (free texts) can be described or reduced to some relevant information. Our aim is to set a process in order to exploit efficiently the content of the documents. We will explain that the medical information extraction task can be analysed into three steps: Extraction “identify and extract a set of events and entities like date, names, medical terms”, Generation “create from these events and entities the relevant information”, Knowledge acquisition “validate and correct the extraction and generation results”. These analysis require to make various approaches in linguistic, statistic and artificial intelligent cooperate and use together specialised terminology as medical nomenclatures ICD-10 and CCMA and linguistic resources.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Architecture of a Medical Information Extraction System</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Architecture of a Medical Information Extraction System</title></titleInfo><name type="personal"><namePart type="given">Dalila</namePart><namePart type="family">Bekhouche</namePart><affiliation>EADS DCS, d’Affaires des Portes, 27106, Val de Reuil CEDEX, France</affiliation><affiliation>PSI Insa Rouen, Place E. Blondel, 76130, Mont St Aignan, France</affiliation><affiliation>E-mail: dalila.Bekhouche@sysde.eads.net</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yann</namePart><namePart type="family">Pollet</namePart><affiliation>Conservatoire national arts & métiers CNAM</affiliation><affiliation>E-mail: pollet@cnam.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bruno</namePart><namePart type="family">Grilheres</namePart><affiliation>EADS DCS, d’Affaires des Portes, 27106, Val de Reuil CEDEX, France</affiliation><affiliation>PSI Insa Rouen, Place E. Blondel, 76130, Mont St Aignan, France</affiliation><affiliation>E-mail: bruno.grilheres@sysde.eads.net</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xavier</namePart><namePart type="family">Denis</namePart><affiliation>EADS DCS, d’Affaires des Portes, 27106, Val de Reuil CEDEX, France</affiliation><affiliation>LIH – Université du Havre, 25 rue P. Lebon, 76600, Le Havre</affiliation><affiliation>E-mail: xavier.denis@operamail.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2004</dateIssued><copyrightDate encoding="w3cdtf">2004</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: We present in this article an innovative architecture of information extraction system applied to the medical domain. The content of documents (free texts) can be described or reduced to some relevant information. Our aim is to set a process in order to exploit efficiently the content of the documents. We will explain that the medical information extraction task can be analysed into three steps: Extraction “identify and extract a set of events and entities like date, names, medical terms”, Generation “create from these events and entities the relevant information”, Knowledge acquisition “validate and correct the extraction and generation results”. These analysis require to make various approaches in linguistic, statistic and artificial intelligent cooperate and use together specialised terminology as medical nomenclatures ICD-10 and CCMA and linguistic resources.</abstract><relatedItem type="host"><titleInfo><title>Natural Language Processing and Information Systems</title><subTitle>9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004. 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type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>New York University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, 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