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Predicting patient-reported symptom clusters in prostate cancer patients: A machine learning approach

dc.contributor.authorRammant, E.
dc.contributor.authorDeman, Emile
dc.contributor.authorPoppe, L.
dc.contributor.authorBultijnck, R.
dc.contributor.authorDirix, P.
dc.contributor.authorDe Meerleer, G.
dc.contributor.authorHaustermans, K.
dc.contributor.authorVan Hecke, A.
dc.contributor.authorAzria, D.
dc.contributor.authorChang-Claude, J.
dc.contributor.authorChoudhury, A.
dc.contributor.authorDe Ruysscher, D.
dc.contributor.authorLambrecht, M.
dc.contributor.authorRosenstein, B. S.
dc.contributor.authorSeibold, P.
dc.contributor.authorSperk, E.
dc.contributor.authorSymonds, R. P.
dc.contributor.authorValdagni, R.
dc.contributor.authorVega, A.
dc.contributor.authorWebb, A.
dc.contributor.authorWest, C.
dc.contributor.authorVeldeman, L.
dc.contributor.authorFonteyne, V
dc.contributor.authorVan Hoecke, Sofie
dc.date.accessioned2022-11-15T10:06:24Z
dc.date.available2022-07-22T02:26:54Z
dc.date.available2022-11-15T10:06:24Z
dc.date.issued2022
dc.identifier.issn0302-2838
dc.identifier.otherWOS:000812320401536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40162.2
dc.sourceWOS
dc.titlePredicting patient-reported symptom clusters in prostate cancer patients: A machine learning approach
dc.typeMeeting abstract
dc.contributor.imecauthorDeman, Emile
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecDeman, Emile::0000-0001-5738-4293
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.identifier.doi10.1016/S0302-2838(22)01229-5
dc.source.numberofpages2
dc.source.peerreviewyes
dc.source.beginpageS1687
dc.source.endpageS1688
dc.source.conference37th Annual EAU Congress
dc.source.conferencedate1-4 July 2022
dc.source.conferencelocationAmsterdam
dc.source.journalEUROPEAN UROLOGY
dc.source.volume81
imec.availabilityPublished - imec


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220.500.12860/40162.2*2022-11-15T09:55:37Zvalidation by library/open access desk
120.500.12860/401622022-07-22T02:26:54Z

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