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dc.contributor.authorSariyer Ataman, G.
dc.contributor.authorOcal Tasar, C.
dc.date.accessioned2021-01-25T20:47:57Z
dc.date.available2021-01-25T20:47:57Z
dc.date.issued2020
dc.identifier10.1177/1460458219871135
dc.identifier.issn14604582
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074040869&doi=10.1177%2f1460458219871135&partnerID=40&md5=9a22d8469a9549bd250a0da7803a7ce6
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9633
dc.description.abstractDiagnostic tests are widely used in emergency departments to make detailed investigations on diagnosis and treat patients correctly. However, since these tests are expensive and time-consuming, ordering correct tests for patients is crucial for efficient
dc.language.isoEnglish
dc.publisherHealth Informatics Journal
dc.titleHighlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: Use of association rule mining
dc.typeArticle
dc.relation.firstpage1177
dc.relation.lastpage1193
dc.relation.volume26
dc.relation.issue2
dc.description.affiliationsYaşar University, Turkey


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