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
Link To Document