dc.contributor.author | Sariyer Ataman, G. | |
dc.contributor.author | Ocal Tasar, C. | |
dc.date.accessioned | 2021-01-25T20:47:57Z | |
dc.date.available | 2021-01-25T20:47:57Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.1177/1460458219871135 | |
dc.identifier.issn | 14604582 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074040869&doi=10.1177%2f1460458219871135&partnerID=40&md5=9a22d8469a9549bd250a0da7803a7ce6 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9633 | |
dc.description.abstract | Diagnostic 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.iso | English | |
dc.publisher | Health Informatics Journal | |
dc.title | Highlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: Use of association rule mining | |
dc.type | Article | |
dc.relation.firstpage | 1177 | |
dc.relation.lastpage | 1193 | |
dc.relation.volume | 26 | |
dc.relation.issue | 2 | |
dc.description.affiliations | Yaşar University, Turkey | |