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Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders

  • Svetlana Simić
  • Ljiljana Radmilo
  • Dragan SimićEmail author
  • Svetislav D. Simić
  • Antonio J. Tallón-Ballesteros
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11872)

Abstract

This paper is focused on a new approach based on fuzzy clustering system for diagnosing headache disorders. The proposed fuzzy clustering system is based on two steps Gustafson-Kessel clustering system. Experimental data set consist of the frequency of the computer use and habits while using the computer and assessment of the adverse health effects due to computer use. The attribute selection for major features is done based on the experimental data set. The proposed fuzzy clustering system is tested on data set collected from patients in Clinical Centre of Vojvodina, in Novi Sad, Serbia.

Keywords

Attribute selection Fuzzy clustering Gustafson-Kessel algorithm 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Svetlana Simić
    • 1
  • Ljiljana Radmilo
    • 2
  • Dragan Simić
    • 3
    Email author
  • Svetislav D. Simić
    • 3
  • Antonio J. Tallón-Ballesteros
    • 4
  1. 1.Faculty of MedicineUniversity of Novi SadNovi SadSerbia
  2. 2.General Hospital “Dr Radivoj Simonović”SomborSerbia
  3. 3.Faculty of Technical SciencesUniversity of Novi SadNovi SadSerbia
  4. 4.Department of Electronics, Computer System Engineering and AutomationUniversity of HuelvaHuelvaSpain

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