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dc.contributor.authorSariyer Ataman, G.
dc.contributor.authorAtaman, M.G.
dc.date.accessioned2021-01-25T20:48:03Z
dc.date.available2021-01-25T20:48:03Z
dc.date.issued2020
dc.identifier10.1177/1833358320908975
dc.identifier.issn18333583
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85082932687&doi=10.1177%2f1833358320908975&partnerID=40&md5=71493f02ae36a28f2c3422e3c05ba751
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9713
dc.description.abstractBackground: Emergency departments (EDs) play an important role in health systems since they are the front line for patients with emergency medical conditions who frequently require diagnostic tests and timely treatment. Objective: To improve decision-maki
dc.language.isoEnglish
dc.publisherHealth Information Management Journal
dc.titleThe likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression
dc.typeArticle
dc.description.affiliationsYaşar University, Turkey; Çiğli Regional Training Hospital, Turkey


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