• DocumentCode
    1875243
  • Title

    Application of intuitionistic fuzzy sets for more objective comparison of Kaplan-Meier curves

  • Author

    Todorova, Ludmila ; Vassilev, Peter ; Hadjistoykov, Peter ; Surchev, Jivko

  • Author_Institution
    Inst. of Biophys. & Biomed. Eng., Sofia, Bulgaria
  • fYear
    2012
  • fDate
    6-8 Sept. 2012
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    In the present work a scheme for more objective comparison of patients, represented by Kaplan-Meier graphs, by classification separating them in groups (m in number) with "graded survivability" is proposed. The classification uses the apparatus of the intuitionistic fuzzy sets (IFS). The final result is a clear and easy to interpret table. To avoid loss of information, as well as for the obtainment of graded, sound and real evaluation of the information, contained in the Kaplan-Meier graphs the authors recommend the consideration of all possible cases, for which it is fulfilled n<;m, where n is the number of the patient groups, represented by Kaplan-Meier survivability curves. A particular case from the neurosurgical practice is considered and analyzed. The obtained results are confirmed in practice and in the scientific literature.
  • Keywords
    data analysis; fuzzy set theory; graph theory; medical computing; neurophysiology; pattern classification; surgery; IFS; Kaplan-Meier graph; Kaplan-Meier survivability curve; graded evaluation; graded survivability; information loss; intuitionistic fuzzy sets; neurosurgical practice; patient classification; patient groups; patient objective comparison; sound evaluation; Educational institutions; Fuzzy sets; Guidelines; Neurosurgery; Pediatrics; Ventilation; Intuitionistic Fuzzy Set; Kaplan-Meier survival curves; Shunt complications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (IS), 2012 6th IEEE International Conference
  • Conference_Location
    Sofia
  • Print_ISBN
    978-1-4673-2276-8
  • Type

    conf

  • DOI
    10.1109/IS.2012.6335218
  • Filename
    6335218