Publications

A Machine Learning-Derived Echocardiographic Algorithm Identifies People at Risk of Heart Failure with Distinct Cardiac Structure, Function, and Response to Spironolactone: Findings from the Homage Trial

AuthID
P-00Y-CYF

Author(s)

Kobayashi, M

Huttin, O

Ferreira, JP

Duarte, K

González, A

Heymans, S

Verdonschot, JAJ

Brunner La Rocca, HP

Pellicori, P

Clark, AL

Petutschnigg, J

Edelmann, F

Cleland, JG

Rossignol, P

Zannad, F

Girerd, N

Group Author(s)

HOMAGE Trial Com Investigators

Document Type

Article in Press

Year published

2023

Published

in EUROPEAN JOURNAL OF HEART FAILURE, ISSN: 1388-9842

Volume: 25, Issue: 8, Pages: 1284-1289 (6)

Indexing

Wos^®

Scopus^®

Pubmed^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1002/ejhf.2859

Pubmed: 37062878

Scopus: 2-s2.0-85158043428

Wos: WOS:000977030000001

Source Identifiers

ISSN: 1388-9842

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

A Machine Learning-Derived Echocardiographic Algorithm Identifies People at Risk of Heart Failure with Distinct Cardiac Structure, Function, and Response to Spironolactone: Findings from the Homage Trial

Useful Links

Get Help

Federated Authentication (Click on the image)

A Machine Learning-Derived Echocardiographic Algorithm Identifies People at Risk of Heart Failure with Distinct Cardiac Structure, Function, and Response to Spironolactone: Findings from the Homage Trial

Useful Links

Get Help