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dc.contributor.author Petrovic, Sanja
dc.contributor.author Mishra, Nishikant
dc.contributor.author Sundar, Santhanam
dc.date.accessioned 2013-07-23T13:31:33Z
dc.date.available 2013-07-23T13:31:33Z
dc.date.issued 2011-09-01
dc.identifier.citation Petrovic , S , Mishra , N & Sundar , S 2011 , ' A novel case based reasoning approach to radiotherapy planning ' Expert Systems with Applications , vol 38 , no. 9 , pp. 10759-10769 . DOI: 10.1016/j.eswa.2011.01.109 en
dc.identifier.issn 0957-4174
dc.identifier.other PURE: 279242
dc.identifier.other PURE UUID: 9a82f350-34e4-4c07-b60d-d0a2b1f04c94
dc.identifier.other RAD: 10289
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 3561
dc.identifier.other crossref: 10.1016/j.eswa.2011.01.109
dc.identifier.other Scopus: 79955630748
dc.identifier.uri http://hdl.handle.net/2160/10939
dc.identifier.uri http://linkinghub.elsevier.com/retrieve/pii/S0957417411001291 en
dc.description.abstract Radiotherapy planning is a complex problem which requires both expertise and experience of an oncologist. A case based reasoning (CBR) system is developed to generate dose plans for prostate cancer patients. The proposed approach captures the expertise and experience of oncologists in treating previous patients and recommends a dose in phase I and phase II of the treatment of a new patient considering also the success rate of the treatment. The proposed CBR system employs a modified Dempster–Shafer theory to fuse dose plans suggested by the most similar cases retrieved from the case base. In order to mimic the continuous learning characteristic of oncologists, the weights corresponding to each feature used in the retrieval process are updated automatically each time after generating a treatment plan for a new patient. The efficiency of the proposed methodology has been validated using real data sets collected from the Nottingham University Hospitals NHS, City Hospital Campus, UK. Experiments demonstrated that for most of the patients, the dose plan generated by our approach is coherent with the dose plan suggested by an experienced oncologist. This methodology can assist both new and experienced oncologists in the treatment planning. en
dc.format.extent 11 en
dc.language.iso eng
dc.relation.ispartof Expert Systems with Applications en
dc.rights en
dc.subject Case based reasoning en
dc.subject Fuzzy sets en
dc.subject Dempster–Shafer theory en
dc.subject Prostate cancer en
dc.subject Radiotherapy en
dc.title A novel case based reasoning approach to radiotherapy planning en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.identifier.doi https://doi.org/10.1016/j.eswa.2011.01.109
dc.contributor.institution School of Management and Business en
dc.description.status Peer reviewed en


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