Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/59222
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dc.contributor.authorErtugrul, Irfan-
dc.contributor.authorOrgan, Arzu-
dc.contributor.authorSavli, Aysegul-
dc.date.accessioned2025-03-22T21:31:53Z-
dc.date.available2025-03-22T21:31:53Z-
dc.date.issued2013-
dc.identifier.issn1300-7009-
dc.identifier.issn2147-5881-
dc.identifier.urihttps://doi.org/10.5505/pajes.2013.68077-
dc.identifier.urihttps://hdl.handle.net/11499/59222-
dc.description.abstractData mining is a way obtain the potentially useful information, but previously unknown and unclear from the raw data-And it includes a certain number of technical approaches suds as the clustering, data summarization, evaluation of changes and the detection of deviations. Data mining is a way of obtaining much valuable information from the data stack, which can reply the questions about the target and which was cleaned from redundant data. It was started to work by giving general information related to data mining. Thanks to data mining. it can he obtained important results that will help decision-making processes in many areas. By examining the data in many ways, meaninful data can be accessed by raw data. There is a common application area of data mining. Our study includes the data in health sector which is one of these application areas. Here, there is an application study on determining the patient profile through using the data in Pumukkale University hospital information management system-through this given data, health care professionals can obtain the most correct and the newest information and this,given data is at the same time a decision support tool to provide the most objective and optimal solutions for them.en_US
dc.language.isotren_US
dc.publisherPamukkale Univen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDataen_US
dc.subjectData Miningen_US
dc.subjectData Mining In Medicineen_US
dc.subjectPatient Profileen_US
dc.subjectThe Hospital Information Management Systems(Hims)en_US
dc.titleThe Determination of Patient Profile at Pamukkale University as Relater To The Application of Data Miningen_US
dc.typeArticleen_US
dc.identifier.volume19en_US
dc.identifier.issue2en_US
dc.identifier.startpage97en_US
dc.identifier.endpage103en_US
dc.departmentPamukkale Universityen_US
dc.identifier.doi10.5505/pajes.2013.68077-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorwosidErtuğrul, Irfan/Aaa-1154-2021-
dc.authorwosidOrgan, Arzu/Aaj-4136-2020-
dc.identifier.wosWOS:000443146600006-
dc.identifier.scopusqualityN/A-
dc.description.woscitationindexEmerging Sources Citation Index-
dc.identifier.wosqualityN/A-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1tr-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept08.04. Business Administration-
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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