• DocumentCode
    1952901
  • Title

    Bayesian network model of HCV therapy response prediction in FBiH

  • Author

    Bijedic, N. ; Hamulic, I. ; Vukobrat-Bijedic, Z. ; Husic-Selimovic, A.

  • Author_Institution
    Fac. of Inf. Technol., Univ. “Dzemal Bijedic”, Mostar, Bosnia-Herzegovina
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    This research is aiming to set higher standards in healthcare research in Bosnia and Herzegovina from the aspect of mathematical and information science methodology. The data on Hepatitis C virus treatment published in previous work was reinvestigated using the Bayesian network methodology. The results are still in the line with the results published worldwide, but this research provides an additional quality, through the conditional probabilities for treatment outcome. Further development of this model may result in an acceptable prediction model for HCV treatment outcome.
  • Keywords
    Bayes methods; belief networks; health care; medical computing; microorganisms; patient treatment; Bayesian network model; Bosnia; FBiH; HCV therapy response prediction; HCV treatment outcome; Hepatitis C virus treatment; Herzegovina; conditional probabilities; healthcare research; information science methodology; mathematical methodology; prediction model; Bayesian methods; Educational institutions; Intelligent systems; Liver; Medical treatment; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2012 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4673-4751-8
  • Electronic_ISBN
    978-1-4673-4749-5
  • Type

    conf

  • DOI
    10.1109/SISY.2012.6339487
  • Filename
    6339487