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Induction for radiology patients

dc.contributor.author Yıldırım, Pınar
dc.contributor.author Tolun, Mehmet R.
dc.date.accessioned 2020-04-02T20:43:39Z
dc.date.available 2020-04-02T20:43:39Z
dc.date.issued 2009
dc.description.abstract This paper represents the implementation of an inductive learning algorithm for patients of Radiology Department in Hacettepe University hospitals to discover the relationship between patient demo-graphics information and time that patients spend during a specific radiology exam. ILA has been used for the implementation which generates rules and the results are evaluated by evaluation metrics. According to generated rules, some patients in different age groups or birthplaces may spend more time for the same radiology exam than the others. en_US
dc.identifier.citation Yıldırım, Pınar; Tolun, Mehmet R., "Induction for radiology patients", Electronic Healthcare, Vol.1, pp.208-220, (2009). en_US
dc.identifier.isbn 9783642004124
dc.identifier.issn 1867-8211
dc.identifier.uri https://hdl.handle.net/20.500.12416/2868
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Electronic Healthcare en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Medical Decision Making en_US
dc.subject Radiology Information System en_US
dc.subject Radiology Data Mining en_US
dc.subject Knowledge Extraction en_US
dc.title Induction for radiology patients tr_TR
dc.title Induction for Radiology Patients en_US
dspace.entity.type Publication
gdc.author.yokid 101956
gdc.description.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
gdc.description.endpage 220 en_US
gdc.description.scopusquality Q4
gdc.description.startpage 208 en_US
gdc.description.volume 1 en_US
gdc.virtual.author Tolun, Mehmet Reşit
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