• DocumentCode
    316270
  • Title

    Rough set approach for data analysis of anthracycline-induced cardiotoxicity

  • Author

    Perez-llera, C. ; Fernandez-Garcia, C. ; Fernandez-Baizan, M.C. ; Feito-Garcia, J.L.

  • Author_Institution
    Dept. Inf., Oviedo Univ., Spain
  • Volume
    1
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    951
  • Abstract
    One of the complications in the treatment of anthracyclines is their cardiotoxicity. Factors influencing the cardiotoxicity are generally known but their significance is differently estimated by various authors. It is rarely considered however that the differences might be caused by distinct prophylactic routines in the center where the investigations are conducted. Thus it seems reasonable to examine the problem of anthracycline-induced cardiotoxicity with reference to a particular hospital (Hospital Central de Asturias, Oviedo-SPAIN). So far, although statistical methods are the most commonly applied methods for indicating connections between various factors of cardiac function from patients treated with anthracyclines, we propose to use rough sets techniques to extract the most significant factors
  • Keywords
    data analysis; medical computing; medicine; operations research; patient treatment; set theory; anthracyclines; cardiac function; cardiotoxicity; data analysis; data mining; hospital; rough sets; Cardiology; Data analysis; Data mining; Hospitals; Information systems; Medical treatment; Monitoring; RNA; Rough sets; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.626227
  • Filename
    626227