A Study to Classify Non-Dipper/Dipper Blood Pressure Pattern of Type 2 Diabetes Mellitus Patients without Holter Device

ALTIKARDEŞ Z. A., ERDAL H., BABA A. F., Tezcan H., FAK A. S., KORKMAZ H.

World Congress on Computer Applications and Information Systems (WCCAIS), Hammamet, Tunus, 17 - 19 Ocak 2014 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Hammamet
  • Basıldığı Ülke: Tunus
  • Marmara Üniversitesi Adresli: Evet

Özet

The aim of this study was to design an expert system to predict the Non-Dipping or Dipping pattern by using several basic clinical and laboratory data through an artificial intelligence algorithm. Data Mining is a technique which extracts information from data sets by using a combination of both statistical analysis methods and artificial intelligence algorithms. Also in this study, the decision tree and naivebayes classification algorithms of this technique were used.