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Optimal unified combination rule in application of Dempster-Shafer theory to lung cancer radiotherapy dose response outcome analysis

Title: Optimal Unified Combination Rule In Application Of Dempster-shafer Theory To Lung Cancer Radiotherapy Dose Response Outcome Analysis.
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Name(s): He, Yanyan, author
Hussaini, M. Yousuff, author
Gong, Yutao U. T., author
Xiao, Ying, author
Type of Resource: text
Genre: Text
Date Issued: 2016
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Our previous study demonstrated the application of the Dempster-Shafer theory of evidence to dose/volume/outcome data analysis. Specifically, it provided Yager's rule to fuse data from different institutions pertaining to radiotherapy pneumonitis versus mean lung dose. The present work is a follow-on study that employs the optimal unified combination rule, which optimizes data similarity among independent sources. Specifically, we construct belief and plausibility functions on the lung cancer radiotherapy dose outcome datasets, and then apply the optimal unified combination rule to obtain combined belief and plausibility, which bound the probabilities of pneumonitis incidence. To estimate the incidence of pneumonitis at any value of mean lung dose, we use the Lyman-Kutcher-Burman (LKB) model to fit the combined belief and plausibility curves. The results show that the optimal unified combination rule yields a narrower uncertainty range (as represented by the belief-plausibility range) than Yager's rule, which is also theoretically proven.
Identifier: FSU_libsubv1_wos_000368341200002 (IID), 10.1120/jacmp.v17i1.5737 (DOI)
Keywords: belief and plausibility measures, Dempster-Shafer theory, dose-volume effects, dosimetric factors, escalation, evidence theory, nsclc, Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC), radiation pneumonitis, Toxicity
Publication Note: The publisher’s version of record is available at https://doi.org/10.1120/jacmp.v17i1.5737
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000368341200002
Owner Institution: FSU
Is Part Of: Journal of Applied Clinical Medical Physics.
1526-9914
Issue: iss. 1, vol. 17

Choose the citation style.
He, Y., Hussaini, M. Y., Gong, Y. U. T., & Xiao, Y. (2016). Optimal Unified Combination Rule In Application Of Dempster-shafer Theory To Lung Cancer Radiotherapy Dose Response Outcome Analysis. Journal Of Applied Clinical Medical Physics. Retrieved from http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000368341200002