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Rule-based Information Extraction from Patients' Clinical Data

hal.structure.identifierEquipe de Recherche en Syntaxe et Sémantique [ERSS]
hal.structure.identifierInstytut Podstaw Informatyki [IPI PAN]
hal.structure.identifierLinguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
dc.contributor.authorKUPŚĆ, Anna
hal.structure.identifierInstytut Podstaw Informatyki [IPI PAN]
dc.contributor.authorMARCINIAK, Malgorzata
hal.structure.identifierInstytut Podstaw Informatyki [IPI PAN]
dc.contributor.authorMYKOWIECKA, Agnieszka
dc.date.accessioned2022-03-07T14:29:53Z
dc.date.available2022-03-07T14:29:53Z
dc.date.issued2009
dc.identifier.issn1532-0464
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/130205
dc.description.abstractEnThe paper describes a rule-based information extraction (IE) system developed for Polish medical texts. We present two applications designed to select data from medical documentation in Polish: mammography reports and hospital records of diabetic patients. First, we have designed a special ontology that subsequently had its concepts translated into two separate models, represented as typed feature structure (TFS) hierarchies, complying with the format required by the IE platform we adopted. Then, we used dedicated IE grammars to process documents and fill in templates provided by the models. In particular, in the grammars, we addressed such linguistic issues as: ambiguous keywords, negation, coordination or anaphoric expressions. Resolving some of these problems has been deferred to a post-processing phase where the extracted information is further grouped and structured into more complex templates. To this end, we defined special heuristic algorithms on the basis of sample data. The evaluation of the implemented procedures shows their usability for clinical data extraction tasks. For most of the evaluated templates, precision and recall well above 80% were obtained.
dc.language.isoen
dc.publisherElsevier
dc.title.enRule-based Information Extraction from Patients' Clinical Data
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jbi.2009.07.007
dc.subject.halSciences cognitives/Linguistique
bordeaux.journalJournal of Biomedical Informatics
bordeaux.page923-936
bordeaux.volume42
bordeaux.hal.laboratoriesCLLE Montaigne : Cognition, langues, Langages, Ergonomie - UMR 5263*
bordeaux.issue5
bordeaux.institutionUniversité Bordeaux Montaigne
bordeaux.peerReviewedoui
hal.identifierinria-00420999
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00420999v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Biomedical%20Informatics&rft.date=2009&rft.volume=42&rft.issue=5&rft.spage=923-936&rft.epage=923-936&rft.eissn=1532-0464&rft.issn=1532-0464&rft.au=KUP%C5%9A%C4%86,%20Anna&MARCINIAK,%20Malgorzata&MYKOWIECKA,%20Agnieszka&rft.genre=article


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