Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery

Abbasi, Adeel; Li, Cindy; Dekle, Max; Bermudez, Christian A.; Brodie, Daniel; Sellke, Frank W.; Sodha, Neel R.; Ventetuolo, Corey E.; Eickhoff, Carsten

dc.contributor.author	Eickhoff, Carsten
dc.date.accessioned	2025-05-06T10:05:36Z
dc.date.available	2025-05-06T10:05:36Z
dc.date.issued	2025
dc.identifier.issn	0022-5223
dc.identifier.uri	http://hdl.handle.net/10900/165183
dc.language.iso	en	en
dc.publisher	New York : Mosby - Elsevier	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.jtcvs.2023.11.034
dc.subject.ddc	610	de_DE
dc.title	Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250203000000_00105
utue.personen.roh	Abbasi, Adeel
utue.personen.roh	Li, Cindy
utue.personen.roh	Dekle, Max
utue.personen.roh	Bermudez, Christian A.
utue.personen.roh	Brodie, Daniel
utue.personen.roh	Sellke, Frank W.
utue.personen.roh	Sodha, Neel R.
utue.personen.roh	Ventetuolo, Corey E.
utue.personen.roh	Eickhoff, Carsten
dcterms.isPartOf.ZSTitelID	Journal of Thoracic and Cardiovascular Surgery	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	169	de_DE
utue.fakultaet	04 Medizinische Fakultät
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät