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dc.contributor.authorSoysal, E.en_US
dc.contributor.authorCicekli, I.en_US
dc.contributor.authorBaykal, N.en_US
dc.date.accessioned2016-02-08T09:56:14Z
dc.date.available2016-02-08T09:56:14Z
dc.date.issued2010en_US
dc.identifier.issn0010-4825
dc.identifier.urihttp://hdl.handle.net/11693/22153
dc.description.abstractThis paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set. We achieved very high precision and recall results during the evaluation of the developed system with unseen radiology reports. © 2010 Elsevier Ltd.en_US
dc.language.isoEnglishen_US
dc.source.titleComputers in Biology and Medicine: an international journalen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.compbiomed.20http://dx.doi.org/10.10.002en_US
dc.subjectInformation extractionen_US
dc.subjectMedical language processingen_US
dc.subjectNatural language processingen_US
dc.subjectOntologyen_US
dc.subjectTurkish radiology reportsen_US
dc.titleDesign and evaluation of an ontology based information extraction system for radiological reportsen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage900en_US
dc.citation.epage911en_US
dc.citation.volumeNumber40en_US
dc.citation.issueNumber11-12en_US
dc.identifier.doi10.1016/j.compbiomed.2010.10.002en_US
dc.publisherPergamon Pressen_US


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