Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery

Vollmer, Andreas; Nagler, Simon; Horner, Marius; Hartmann, Stefan; Brands, Roman C.; Breitenbuecher, Niko; Straub, Anton; Kuebler, Alexander; Vollmer, Michael; Gubik, Sebastian; Lang, Gernot; Wollborn, Jakob; Saravi, Babak

dc.contributor.author	Vollmer, Michael
dc.date.accessioned	2024-06-04T09:48:42Z
dc.date.available	2024-06-04T09:48:42Z
dc.date.issued	2023
dc.identifier.issn	2405-8440
dc.identifier.uri	http://hdl.handle.net/10900/154014
dc.language.iso	en	de_DE
dc.publisher	Cambridge : Cell Press	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.heliyon.2023.e20752	de_DE
dc.subject.ddc	500	de_DE
dc.title	Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_00591
utue.personen.roh	Vollmer, Andreas
utue.personen.roh	Nagler, Simon
utue.personen.roh	Horner, Marius
utue.personen.roh	Hartmann, Stefan
utue.personen.roh	Brands, Roman C.
utue.personen.roh	Breitenbuecher, Niko
utue.personen.roh	Straub, Anton
utue.personen.roh	Kuebler, Alexander
utue.personen.roh	Vollmer, Michael
utue.personen.roh	Gubik, Sebastian
utue.personen.roh	Lang, Gernot
utue.personen.roh	Wollborn, Jakob
utue.personen.roh	Saravi, Babak
dcterms.isPartOf.ZSTitelID	Heliyon	de_DE
dcterms.isPartOf.ZS-Issue	Article e20752	de_DE
dcterms.isPartOf.ZS-Volume	9 (11)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE