FBiH HCV治疗反应预测的贝叶斯网络模型

N. Bijedić, Indira Hamulic, Z. Vukobrat-Bijedic, A. Husic-Selimovic
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引用次数: 1

摘要

这项研究旨在从数学和信息科学方法方面为波斯尼亚和黑塞哥维那的保健研究设定更高的标准。使用贝叶斯网络方法对先前工作中发表的丙型肝炎病毒治疗数据进行了重新调查。这些结果仍然与世界范围内发表的结果一致,但这项研究通过治疗结果的条件概率提供了额外的质量。该模型的进一步发展可能会产生一个可接受的HCV治疗结果预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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