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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 | 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.citation | 1941-9651 |
dc.identifier.citation | https://dx.doi.org/10.1161/CIRCIMAGING.117.007138 |
dc.identifier.uri | http://hdl.handle.net/10230/36968 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | American Hearth Association |
dc.relation | Circulation: Cardiovascular Imaging. 2018 Apr 16;11(4):e007138 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | © American Hearth Association http://dx.doi.org/10.1161/CIRCIMAGING.117.007138 |
dc.subject | Echocardiography |
dc.subject | Machine learning |
dc.subject | Early diagnosis |
dc.subject | Heart failure |
dc.subject | Diastolic |
dc.subject | Ultrasonography |
dc.subject | Doppler |
dc.subject | Stress |
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.type | info:eu-repo/semantics/acceptedVersion |
dc.description.abstract |