Title :
Application of evidence theory in radiation oncology outcome analysis
Author :
Xiao, Ying ; Cui, Yunfeng ; Chen, Wenzhou ; Yu, Yan ; Galvin, James ; Hussaini, M. Yousuff
Author_Institution :
Dept. of Radiat. Oncology, Thomas Jefferson Univ., Philadelphia, PA, USA
Abstract :
In this paper, we apply the Dempster-Shafer theory to outcome analysis in radiation oncology. Evidence from different sources, some of them inconsistent, is combined by Dempster´s rule to provide an innovative method for radiotherapy outcome analysis.
Keywords :
cancer; medical computing; radiation therapy; Dempster rule; Dempster-Shafer theory; radiation oncology outcome analysis; radiotherapy outcome analysis; Biomedical applications of radiation; Cancer; Context modeling; Lungs; Oncology; Predictive models; Probability; Dempster-Shafer theory; evidence; pneumonitis; radiation oncology;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639437
