Data Mining on Distributed Medical Databases: Recent Trends and Future Directions


Atilgan Y., Dogan F.

1st International ICST Conference on IT Revolutions, Venice, İtalya, 17 - 19 Aralık 2008, ss.216-224, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1007/978-3-642-03978-2_19
  • Basıldığı Şehir: Venice
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.216-224
  • Hatay Mustafa Kemal Üniversitesi Adresli: Hayır

Özet

As computerization in healthcare services increase, the amount of available digital data is growing at an unprecedented rate and as a result healthcare organizations are much more able to store data than to extract knowledge from it. Today the major challenge is to transform these data into useful information and knowledge. It is important for healthcare organizations to use stored data to improve quality while reducing cost. This paper first investigates the data mining applications on centralized medical databases, and how they are used for diagnostic and population health, then introduces distributed databases. The integration needs and issues of distributed medical databases are described. Finally the paper focuses on data mining studies on distributed medical databases.