Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicine

Hinrichs, Nils; Meyer, Alexander; Koehler, Kerstin; Kaas, Thomas; Hiddemann, Meike; Spethmann, Sebastian; Balzer, Felix; Eickhoff, Carsten; Falk, Volkmar; Hindricks, Gerhard; Dagres, Nikolaos; Koehler, Friedrich

dc.contributor.author	Eickhoff, Carsten
dc.date.accessioned	2025-06-16T06:18:37Z
dc.date.available	2025-06-16T06:18:37Z
dc.date.issued	2024
dc.identifier.issn	2297-055X
dc.identifier.uri	http://hdl.handle.net/10900/166674
dc.language.iso	en	de_DE
dc.publisher	Lausanne : Frontiers Media Sa	de_DE
dc.relation.uri	http://dx.doi.org/10.3389/fcvm.2024.1457995	de_DE
dc.subject.ddc	610	de_DE
dc.title	Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicine	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250203000000_01251
utue.personen.roh	Hinrichs, Nils
utue.personen.roh	Meyer, Alexander
utue.personen.roh	Koehler, Kerstin
utue.personen.roh	Kaas, Thomas
utue.personen.roh	Hiddemann, Meike
utue.personen.roh	Spethmann, Sebastian
utue.personen.roh	Balzer, Felix
utue.personen.roh	Eickhoff, Carsten
utue.personen.roh	Falk, Volkmar
utue.personen.roh	Hindricks, Gerhard
utue.personen.roh	Dagres, Nikolaos
utue.personen.roh	Koehler, Friedrich
dcterms.isPartOf.ZSTitelID	Frontiers in Cardiovascular Medicine	de_DE
dcterms.isPartOf.ZS-Issue	Article 1457995	de_DE
dcterms.isPartOf.ZS-Volume	11	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE