Methodology of Adaptation of Data Mining Methods for Medical

  • V. Špečkauskienė Kaunas University of Technology
  • A. Lukoševičius Kaunas University of Technology

Abstract

Data mining algorithms are used in various fields as a tool for answering (suggesting) particular questions. Medicine is one of the fields, which widely uses data mining techniques. In this research they are analyzed and applied in the domain of eye health. Aim: elaborate and test a method of data mining algorithms and adjustment of these algorithms for decision support. In this case we apply the steps stated in our method on data mining algorithms and eye health screening data. Paper presents the results of the testing of methodology, covering operation of algorithms’ specificity (%) and sensitivity (%). Highest reached sensitivity is 94%, specificity – 100%. Ill 2, bibl. 7 (in English; summaries in English, Russian and Lithuanian).

Author Biographies

V. Špečkauskienė, Kaunas University of Technology
A. Lukoševičius, Kaunas University of Technology
Published
2015-03-13
Section
T 125 AUTOMATION, ROBOTICS