Machine learning and patient-reported outcomes for longitudinal monitoring of disease progression in metastatic breast cancer: a multicenter, retrospective analysis

dc.contributor.author	Engler, Tobias
dc.contributor.author	Brucker, Sara
dc.date.accessioned	2024-02-20T09:11:14Z
dc.date.available	2024-02-20T09:11:14Z
dc.date.issued	2023
dc.identifier.issn	0959-8049
dc.identifier.uri	http://hdl.handle.net/10900/151176
dc.language.iso	en	de_DE
dc.publisher	Oxford : Elsevier Sci Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.ejca.2023.04.019	de_DE
dc.subject.ddc	610	de_DE
dc.title	Machine learning and patient-reported outcomes for longitudinal monitoring of disease progression in metastatic breast cancer: a multicenter, retrospective analysis	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230928000000_01179
utue.publikation.seiten	111-121	de_DE
utue.personen.roh	Deutsch, Thomas M.
utue.personen.roh	Pfob, Andre
utue.personen.roh	Brusniak, Katharina
utue.personen.roh	Riedel, Fabian
utue.personen.roh	Bauer, Armin
utue.personen.roh	Dijkstra, Tjeerd
utue.personen.roh	Engler, Tobias
utue.personen.roh	Brucker, Sara Y.
utue.personen.roh	Hartkopf, Andreas D.
utue.personen.roh	Schneeweiss, Andreas
utue.personen.roh	Sidey-Gibbons, Chris
utue.personen.roh	Wallwiener, Markus
dcterms.isPartOf.ZSTitelID	European Journal of Cancer	de_DE
dcterms.isPartOf.ZS-Volume	188	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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