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Induction for radiology patients

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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.identifier.citation Yıldırım, Pınar; Tolun, Mehmet R., "Induction for radiology patients", Electronic Healthcare, Vol.1, pp.208-220, (2009). tr_TR
dc.identifier.isbn 978-3-642-00412-4
dc.identifier.issn 1867-8211
dc.identifier.uri http://hdl.handle.net/20.500.12416/2868
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. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Medical Decision Making tr_TR
dc.subject Radiology Information System tr_TR
dc.subject Radiology Data Mining tr_TR
dc.subject Knowledge Extraction tr_TR
dc.title Induction for radiology patients tr_TR
dc.type workingPaper tr_TR
dc.relation.journal Electronic Healthcare tr_TR
dc.contributor.authorID 101956 tr_TR
dc.identifier.volume 1 tr_TR
dc.identifier.startpage 208 tr_TR
dc.identifier.endpage 220 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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