Rammant, E.E.RammantDeman, EmileEmileDemanPoppe, L.L.PoppeBultijnck, R.R.BultijnckDirix, P.P.DirixDe Meerleer, G.G.De MeerleerHaustermans, K.K.HaustermansVan Hecke, A.A.Van HeckeAzria, D.D.AzriaChang-Claude, J.J.Chang-ClaudeChoudhury, A.A.ChoudhuryDe Ruysscher, D.D.De RuysscherLambrecht, M.M.LambrechtRosenstein, B. S.B. S.RosensteinSeibold, P.P.SeiboldSperk, E.E.SperkSymonds, R. P.R. P.SymondsValdagni, R.R.ValdagniVega, A.A.VegaWebb, A.A.WebbWest, C.C.WestVeldeman, L.L.VeldemanFonteyne, VVFonteyneVan Hoecke, SofieSofieVan Hoecke2022-11-152022-07-222022-11-1520220302-2838WOS:000812320401536https://imec-publications.be/handle/20.500.12860/40162Predicting patient-reported symptom clusters in prostate cancer patients: A machine learning approachMeeting abstract10.1016/S0302-2838(22)01229-5WOS:000812320401536