• DocumentCode
    3174826
  • Title

    Intelligent analysis of long-term patient survival after pacemaker implantation

  • Author

    Povalej, P. ; Krizmaric, M. ; Kokol, P. ; Pehnec, Z.

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., Maribor Univ.
  • fYear
    2005
  • fDate
    25-28 Sept. 2005
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    In the recent years intelligent systems proved to be a useful and successful tool which has often been used for decision support, data mining and knowledge discovery in medicine. Data mining and knowledge discovery enable to prove existing hypothesis or to generate new ones - thus they in longer term support the advancement of medicine as a scientific discipline and as a consequence developing new treatment, prediction and diagnosing methods directly helping clinicians. In this paper we present the results of intelligent data analysis used for determining important factors for long-term patient´s survival after pacemaker implantation. The study included 2207 patients which had their first pacemaker implantation during 1966 and 2001 in Slovenia
  • Keywords
    cardiology; data analysis; data mining; decision support systems; medical diagnostic computing; pacemakers; trees (mathematics); data mining; decision support system; decision trees; intelligent data analysis; intelligent system; knowledge discovery; long-term patient survival factors; pacemaker implantation; patient diagnosing method; Computer science; Data analysis; Data mining; Databases; Decision trees; Educational institutions; Medical diagnostic imaging; Medical treatment; Neural networks; Pacemakers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2005
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7803-9337-6
  • Type

    conf

  • DOI
    10.1109/CIC.2005.1588084
  • Filename
    1588084