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- W2337626421 abstract "Veri madenciligi, ham verilerden cok net olmayan, onceden bilinmeyen fakat potansiyel olarak kullanisli bilginin elde edilmesidir. Bu da; kumeleme, veri ozetleme, degisikliklerin incelenmesi, sapmalarin tespiti gibi belirli sayida teknik yaklasimlari icerir. Veri madenciligi veri yiginlarindan, hedefe yonelik sorulara cevap verebilecek gereksiz verilerden temizlenmis cok degerli bilgilere ulasabilme yontemidir. Veri madenciligi ile ilgili genel bilgiler verilerek calismaya baslanmistir. Veri madenciligi ile pek cok alanda karar verme islemlerine yardimci olacak onemli sonuclar elde edilebilir. Cesitli yontemlerle veriler incelerek, ham verilerden anlamli verilere ulasilabilir. Veri madenciliginin yaygin bir uygulama alani vardir. Calismamiz, bu uygulama alanlarindan biri olan saglik sektorundeki verileri kapsamaktadir. PAU Hastane Bilgi Yonetim Sisteminde yer alan veriler kullanilarak gelen hastalarin profilini belirleyen bir uygulama calismasi yapilmistir. Uygulama ile verilen bilgilerin saglik profesyonellerinin en dogru ve guncel bilgiye ulasmasini, en objektif ve optimum cozumleri kullanmasini saglayacak bir karar destek araci oldugu gosterilmeye calisilmistir. Data mining is a way to obtain the potentially useful information, but previously unknown and unclear from the raw data-And it includes a certain number of technical approaches such 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 be 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 Pamukkale 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 Anahtar kelimeler: Veri madenciligi, Veri, Tipta veri madenciligi, Hasta profili, Hastane bilgi yonetim sistemi (HBYS)." @default.
- W2337626421 created "2016-06-24" @default.
- W2337626421 creator A5042177419 @default.
- W2337626421 date "2013-01-01" @default.
- W2337626421 modified "2023-09-27" @default.
- W2337626421 title "VERİ MADENCİLİĞİ UYGULAMASINA İLİŞKİN PAÜ HASTANESİNDE HASTA PROFİLİNİN BELİRLENMESİ* THE DETERMINATION OF PATIENT PROFILE AT PAMUKKALE UNIVERSITY AS RELATER TO THE APPLICATION OF DATA MINING*" @default.
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- W2337626421 hasPublicationYear "2013" @default.
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