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, Tunisia, 17 - 19 January 2014 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: Hammamet
  • Country: Tunisia

Abstract

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.