Induction for radiology patients

Yıldırım, Pınar; Tolun, Mehmet R.

Induction for radiology patients

dc.contributor.author	Yıldırım, Pınar
dc.contributor.author	Tolun, Mehmet R.
dc.contributor.authorID	101956	tr_TR
dc.date.accessioned	2020-04-02T20:43:39Z
dc.date.available	2020-04-02T20:43:39Z
dc.date.issued	2009
dc.department	Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü	en_US
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.endpage	220	en_US
dc.identifier.isbn	9783642004124
dc.identifier.issn	1867-8211
dc.identifier.startpage	208	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.12416/2868
dc.identifier.volume	1	en_US
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

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