From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units

Epah, Jeremy; Gülec, Ilay; Winter, Stefan; Dörr, Johanna; Geisen, Christof; Häcker, Eva; Link, Dietmar; Schwab, Matthias; Seifried, Erhard; Schäfer, Richard

dc.contributor.author	Schwab, Matthias
dc.date.accessioned	2024-09-25T08:42:14Z
dc.date.available	2024-09-25T08:42:14Z
dc.date.issued	2022
dc.identifier.issn	2198-3844
dc.identifier.uri	http://hdl.handle.net/10900/157694
dc.language.iso	en	de_DE
dc.publisher	Weinheim: Wiley	de_DE
dc.relation.uri	https://dx.doi.org/10.1002/advs.202204077	de_DE
dc.subject.ddc	610	de_DE
dc.title	From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units	de_DE
dc.type	Article	de_DE
utue.publikation.seiten	;e2204077	de_DE
utue.personen.roh	Epah, Jeremy
utue.personen.roh	Gülec, Ilay
utue.personen.roh	Winter, Stefan
utue.personen.roh	Dörr, Johanna
utue.personen.roh	Geisen, Christof
utue.personen.roh	Häcker, Eva
utue.personen.roh	Link, Dietmar
utue.personen.roh	Schwab, Matthias
utue.personen.roh	Seifried, Erhard
utue.personen.roh	Schäfer, Richard
dcterms.isPartOf.ZSTitelID	Advanced Science	de_DE
dcterms.isPartOf.ZS-Issue	36	de_DE
dcterms.isPartOf.ZS-Volume	9	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE