dc.contributor.author | Regnier-Coudert, Olivier | |
dc.contributor.author | McCall, John | |
dc.contributor.author | Lothian, Robert | |
dc.contributor.author | Lam, Thomas | |
dc.contributor.author | McClinton, Sam | |
dc.contributor.author | N'Dow, James | |
dc.date.accessioned | 2012-05-07T13:39:01Z | |
dc.date.available | 2012-05-07T13:39:01Z | |
dc.date.issued | 2012-05 | |
dc.identifier | 12300529 | |
dc.identifier | 6b62f20e-38fb-44f2-845a-27fa7b252a8b | |
dc.identifier | 84858859611 | |
dc.identifier.citation | Regnier-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.2011.11.003 | en |
dc.identifier.issn | 0933-3657 | |
dc.identifier.uri | http://hdl.handle.net/2164/2417 | |
dc.format.extent | 11 | |
dc.format.extent | 1681207 | |
dc.language.iso | eng | |
dc.relation.ispartof | Artificial Intelligence in Medicine | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | predictive modelling | en |
dc.subject | bayesian networks | en |
dc.subject | logistic regression | en |
dc.subject | prostate cancer staging | en |
dc.subject | partin tables | en |
dc.subject | RC0254 Neoplasms. Tumors. Oncology (including Cancer) | en |
dc.subject.lcc | RC0254 | en |
dc.title | Machine learning for improved pathological staging of prostate cancer : A performance comparison on a range of classifiers | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
dc.contributor.institution | University of Aberdeen.Academic Urology Unit | en |
dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1016/j.artmed.2011.11.003 | |