Induction for radiology patients

Yıldırım, Pınar; Tolun, Mehmet R.

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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