Please use this identifier to cite or link to this item: http://hdl.handle.net/10884/1367
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dc.contributor.authorMacedo, Mario-
dc.contributor.authorIsaías, Pedro-
dc.date.accessioned2018-09-07T14:27:24Z-
dc.date.available2018-09-07T14:27:24Z-
dc.date.issued2011-
dc.identifier.isbn978-3-642-21668-8-
dc.identifier.urihttp://hdl.handle.net/10884/1367-
dc.descriptionhttps://link.springer.com/chapter/10.1007%2F978-3-642-21669-5_34pt_PT
dc.description.abstracthe development of clinical ontologies using common clinical data is a very important issue to record healthcare patient history, to use medical guidelines and to services accountability. The usage of terminologies already developed and available like SNOMED is a benefit. However many doctors argue that they prefer to continue using natural language and unstructured text to record patient data. Their point of view is that natural language is much more complete and flexible than standardized terminologies. This study intends to prove that it is possible to recognize patterns from natural language and identify the clinical procedures as they would be written with a normalized language. Another delivery of this study would be a precisely accountability of healthcare services.pt_PT
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.ispartofseriesHuman Interface 2011: Human Interface and the Management of Information. Interacting with Information;-
dc.rightsopenAccess-
dc.subjectMedical Guidelinept_PT
dc.subjectOntologypt_PT
dc.subjectSNOMEDpt_PT
dc.subjectClinical Natural Languagept_PT
dc.titleA Methodology to Develop a Clinical Ontology for Healthcare Business.pt_PT
dc.typeconferenceObjectpt_PT
dc.rparessimpt_PT
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