N. Bijedić, Indira Hamulic, Z. Vukobrat-Bijedic, A. Husic-Selimovic
{"title":"FBiH HCV治疗反应预测的贝叶斯网络模型","authors":"N. Bijedić, Indira Hamulic, Z. Vukobrat-Bijedic, A. Husic-Selimovic","doi":"10.1109/SISY.2012.6339487","DOIUrl":null,"url":null,"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.","PeriodicalId":207630,"journal":{"name":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bayesian network model of HCV therapy response prediction in FBiH\",\"authors\":\"N. Bijedić, Indira Hamulic, Z. Vukobrat-Bijedic, A. Husic-Selimovic\",\"doi\":\"10.1109/SISY.2012.6339487\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":207630,\"journal\":{\"name\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2012.6339487\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2012.6339487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bayesian network model of HCV therapy response prediction in FBiH
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.