dc.contributor.author | Sariyer Ataman, G. | |
dc.contributor.author | Ataman, M.G. | |
dc.date.accessioned | 2021-01-25T20:48:03Z | |
dc.date.available | 2021-01-25T20:48:03Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.1177/1833358320908975 | |
dc.identifier.issn | 18333583 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082932687&doi=10.1177%2f1833358320908975&partnerID=40&md5=71493f02ae36a28f2c3422e3c05ba751 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9713 | |
dc.description.abstract | Background: 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.iso | English | |
dc.publisher | Health Information Management Journal | |
dc.title | The likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression | |
dc.type | Article | |
dc.description.affiliations | Yaşar University, Turkey; Çiğli Regional Training Hospital, Turkey | |