Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction

Sanchez Martinez, Sergio; Duchateau, Nicolas; Erdei, Tamas; Kunszt, Gabor; Aakhus, Svend; Degiovanni, Anna; Marino, Paolo; Carluccio, Erberto; Piella Fenoy, Gemma; Fraser, Alan G.; Bijnens, Bart

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dc.contributor.author	Sanchez Martinez, Sergio
dc.contributor.author	Duchateau, Nicolas
dc.contributor.author	Erdei, Tamas
dc.contributor.author	Kunszt, Gabor
dc.contributor.author	Aakhus, Svend
dc.contributor.author	Degiovanni, Anna
dc.contributor.author	Marino, Paolo
dc.contributor.author	Carluccio, Erberto
dc.contributor.author	Piella Fenoy, Gemma
dc.contributor.author	Fraser, Alan G.
dc.contributor.author	Bijnens, Bart
dc.date.accessioned	2019-03-26T11:00:26Z
dc.date.available	2019-03-26T11:00:26Z
dc.date.issued	2018
dc.identifier.citation	Sanchez-Martinez S, Duchateau N, Erdei T, Kunszt G, Aakhus S, Degiovanni A, Marino P, Carluccio E, Piella G, Fraser AG, Bijnens BH. Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction. Circ Cardiovasc Imaging. 2018 Apr 16;11(4):e007138. DOI: 10.1161/CIRCIMAGING.117.007138
dc.identifier.issn	1941-9651
dc.identifier.uri	http://hdl.handle.net/10230/36968
dc.description.abstract	Current diagnosis of heart failure with preserved ejection fraction (HFpEF) is suboptimal. We tested the hypothesis that comprehensive machine learning (ML) of left ventricular function at rest and exercise objectively captures differences between HFpEF and healthy subjects.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	American Hearth Association
dc.relation.ispartof	Circulation: Cardiovascular Imaging. 2018 Apr 16;11(4):e007138
dc.rights	© American Hearth Association http://dx.doi.org/10.1161/CIRCIMAGING.117.007138
dc.title	Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction
dc.type	info:eu-repo/semantics/article
dc.identifier.doi	http://dx.doi.org/10.1161/CIRCIMAGING.117.007138
dc.subject.keyword	Echocardiography
dc.subject.keyword	Machine learning
dc.subject.keyword	Early diagnosis
dc.subject.keyword	Heart failure
dc.subject.keyword	Diastolic
dc.subject.keyword	Ultrasonography
dc.subject.keyword	Doppler
dc.subject.keyword	Stress
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/acceptedVersion