Publications

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals

AuthID
P-00W-BYP

Author(s)

Kobayashi, M

Huttin, O

Magnusson, M

Ferreira, JP

Bozec, E

Huby, A

Preud’homme, G

Duarte, K

Lamiral, Z

Dalleau, K

Bresso, E

Smaïl-Tabbone, M

Devignes, M

Nilsson, PM

Leosdottir, M

Boivin, J

Zannad, F

Rossignol, P

Girerd, N

Document Type

Article

Year published

2022

Published

in JACC: Cardiovascular Imaging, ISSN: 1936-878X

Volume: 15, Issue: 2, Pages: 193-208

Indexing

Crossref^®51

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1016/j.jcmg.2021.07.004

Source Identifiers

ISSN: 1936-878X

Export Publication Metadata

Marked List

Add to Marked List

Info

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

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals

Useful Links

Get Help

Federated Authentication (Click on the image)

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals

Useful Links

Get Help