Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach

Braun, Benedikt J.; Histing, Tina; Menger, Maximilian M.; Herath, Steven C.; Mueller-Franzes, Gustav A.; Grimm, Bernd; Marmor, Meir; Truhn, Daniel

dc.contributor.author	Braun, Benedikt J.
dc.contributor.author	Histing, Tina
dc.contributor.author	Menger, Maximilian M.
dc.contributor.author	Herath, Steven C.
dc.date.accessioned	2024-02-27T10:26:20Z
dc.date.available	2024-02-27T10:26:20Z
dc.date.issued	2024
dc.identifier.issn	0020-1383
dc.identifier.uri	http://hdl.handle.net/10900/151356
dc.language.iso	en	de_DE
dc.publisher	London : Elsevier Sci Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.injury.2023.111254	de_DE
dc.subject.ddc	610	de_DE
dc.title	Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_00150
utue.personen.roh	Braun, Benedikt J.
utue.personen.roh	Histing, Tina
utue.personen.roh	Menger, Maximilian M.
utue.personen.roh	Herath, Steven C.
utue.personen.roh	Mueller-Franzes, Gustav A.
utue.personen.roh	Grimm, Bernd
utue.personen.roh	Marmor, Meir
utue.personen.roh	Truhn, Daniel
dcterms.isPartOf.ZSTitelID	Injury - International Journal of The Care of The Injured	de_DE
dcterms.isPartOf.ZS-Issue	Article 111254	de_DE
dcterms.isPartOf.ZS-Volume	55 (2)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE