1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1738
DC FieldValueLanguage
dc.contributor.authorMiksch, Silvia-
dc.contributor.authorHunter, James-
dc.contributor.authorKeravnou-Papailiou, Elpida-
dc.date.accessioned2013-02-13T12:35:52Zen
dc.date.accessioned2013-05-17T05:22:06Z-
dc.date.accessioned2015-12-02T09:54:02Z-
dc.date.available2013-02-13T12:35:52Zen
dc.date.available2013-05-17T05:22:06Z-
dc.date.available2015-12-02T09:54:02Z-
dc.date.issued2006-02-
dc.identifier.citationArtificial intelligence in medicine, 2006, vol. 39, no. 2, pp. 97–98en_US
dc.identifier.issn09333657-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1738-
dc.description.abstractThe 10th Conference on Artificial Intelligence in Medicine (AIME '05), held in Aberdeen, Scotland, on 23 27 July 2005, presents papers on the international state of art of artificial intelligence (AI) in medicine (AIM) from both a research and an application perspective. The themes on which papers and the sessions were organized include temporal representation and reasoning, decision support systems, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, and knowledge management. The papers deal with the fields of natural language processing, linguistic analysis, and information extraction, and also with guideline based care and how these methods can be utilized to support different tasks in this area. The papers also propose a multi-step approach using information extraction methods to support the human modeler by both automating parts of the modeling process and making the modeling process traceable and comprehensibleen_US
dc.formatPdfen_US
dc.language.isoenen_US
dc.relation.ispartofArtificial intelligence in medicineen_US
dc.rights© Elsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArtificial intelligenceen_US
dc.subjectMedicineen_US
dc.subjectEvidence-based medicineen_US
dc.subjectLinguisticsen_US
dc.subjectMedical literatureen_US
dc.subjectSemanticsen_US
dc.titleArtificial Intelligence in medicine AIME ’05en_US
dc.typeArticleen_US
dc.affiliationUniversity of Cyprusen
dc.collaborationUniversity of Cyprusen_US
dc.journalsOpen Accessen_US
dc.countrycyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.artmed.2006.09.002en_US
dc.dept.handle123456789/54en
dc.relation.issue2en_US
dc.relation.volume39en_US
cut.common.academicyear2006-2007en_US
dc.identifier.spage97en_US
dc.identifier.epage98en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.journal.journalissn0933-3657-
crisitem.journal.publisherElsevier-
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