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Veri Madenciliği: Tıp ve Sağlık Hizmetlerinde Kullanımı ve Uygulamaları

Data Mining: Using and Applications in Medicine and Healthcare

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Abstract (2. Language): 
Data mining which is define as extraction of hidden, valuable and useful knowledge from big amount of data and its use for providing strategic decision support has been giving a new perspective for usage of health data and is becoming a method which is improving in all application domains besides as an reply for problematique domains related with huge data. The objective of this paper is to form a basis and new point of view to health professionals for decision making process by presenting examples of Data Mining application in healthcare. For this purpose conceptual framework are given about Knowledge Discovery in Databases, Data Warehouse, Data Mining, Business Intelligence, and Data Mining methods and then examples of Data Mining applications about primary subjects and issues in our country’s health sector are presented in this study.
Abstract (Original Language): 
Büyük miktarda veri içerisinden, gizli kalmış, değerli, kullanılabilir bilgileri açığa çıkarmak ve stratejik karar destek sağlamak amacıyla kullanılan Veri Madenciliği; büyük miktarda veriyle ilgili sorun alanlarına yanıt bulması yanında sağlık verilerinin kullanımında yeni bir perspektif yaratmış ve kullanım yaygınlığı hızla artmaya devam eden bir yöntem haline gelmiştir. Bu makalenin amacı, sağlıkta Veri Madenciliğinin kullanımı konusunda bir altyapı oluşturmak ve sağlık profesyonellerine sağlık sektöründe Veri Madenciliği’nin kullanımı ile ilgili örnekler sunarak karar verme süreçleri açısından yeni bir bakış açısı kazandırmaktır. Bu amaçla makalede Veri Tabanlarında Bilgi Keşfi, Veri Ambarı, Veri Madenciliği, İş Zekası ve Veri Madenciliği Yöntemleri konularında kavramsal çerçeve verilerek; ülkemizdeki sağlık sektöründe öncelikli konu ve sorun alanları ile ilgili Veri Madenciliği uygulamalarına örnekler sunulmaktadır.
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