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
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;
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
DOI :
10.1109/SISY.2012.6339487