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dc.contributor.authorRegnier-Coudert, Olivier
dc.contributor.authorMcCall, John
dc.contributor.authorLothian, Robert
dc.contributor.authorLam, Thomas
dc.contributor.authorMcClinton, Sam
dc.contributor.authorN'Dow, James
dc.date.accessioned2012-05-07T13:39:01Z
dc.date.available2012-05-07T13:39:01Z
dc.date.issued2012-05
dc.identifier.citationRegnier-Coudert , O , McCall , J , Lothian , R , Lam , T , McClinton , S & N'Dow , J 2012 , ' Machine learning for improved pathological staging of prostate cancer : A performance comparison on a range of classifiers ' , Artificial Intelligence in Medicine , vol. 55 , no. 1 , pp. 25-35 . https://doi.org/10.1016/j.artmed.2011.11.003en
dc.identifier.issn0933-3657
dc.identifier.otherPURE: 12300529
dc.identifier.otherPURE UUID: 6b62f20e-38fb-44f2-845a-27fa7b252a8b
dc.identifier.otherScopus: 84858859611
dc.identifier.urihttp://hdl.handle.net/2164/2417
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofArtificial Intelligence in Medicineen
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Artificial Intelligence in Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ARTIFICIAL INTELLIGENCE IN MEDICINE, [VOL 55, ISSUE 1, (2012)] DOI 10.1016/j.artmed.2011.11.003en
dc.subjectpredictive modellingen
dc.subjectbayesian networksen
dc.subjectlogistic regressionen
dc.subjectprostate cancer stagingen
dc.subjectpartin tablesen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subject.lccRC0254en
dc.titleMachine learning for improved pathological staging of prostate cancer : A performance comparison on a range of classifiersen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Academic Urology Uniten
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.artmed.2011.11.003


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