Use of data mining techniques to classify length of stay of emergency department patients

dc.contributor.author	Sariyer Ataman, G.
dc.contributor.author	Ocal Tasar, C.
dc.contributor.author	Cepe, G.E.
dc.date.accessioned	2021-01-25T20:48:25Z
dc.date.available	2021-01-25T20:48:25Z
dc.date.issued	2019
dc.identifier	10.1515/bams-2018-0044
dc.identifier.issn	18959091
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063092018&doi=10.1515%2fbams-2018-0044&partnerID=40&md5=fdb88a58c0512579ce22b09b5d99dfc0
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9907
dc.description.abstract	Emergency departments (EDs) are the largest departments of hospitals which encounter high variety of cases as well as high level of patient volumes. Thus, an efficient classification of those patients at the time of their registration is very important fo
dc.language.iso	English
dc.publisher	Bio-Algorithms and Med-Systems
dc.title	Use of data mining techniques to classify length of stay of emergency department patients
dc.type	Article
dc.relation.volume	15
dc.relation.issue	1
dc.description.affiliations	Department of Business Administration, Yaşar University, Izmir, Turkey; Yasar University, Software Engineering, Agaclikli Yol No:35-37, Izmir, Turkey; Baklrçay University, Izmir, Turkey

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