Unleashing the Power of Machine Learning to Predict Myocardial Recovery After Left Ventricular Assist Device: A Call for the Inclusion of Unstructured Data Sources in Heart Failure Registries

Circ Heart Fail. 2022 Jan;15(1):e009278. doi: 10.1161/CIRCHEARTFAILURE.121.009278. Epub 2021 Dec 24.

Author

Ramsey M Wehbe¹

Affiliation

¹ Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.

PMID: 34949097
DOI: 10.1161/CIRCHEARTFAILURE.121.009278

No abstract available

Keywords: Editorials; artificial intelligence; cardiovascular diseases; deep learning; heart failure; machine learning.

Publication types

Editorial
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Heart Failure* / diagnosis
Heart Failure* / physiopathology
Heart Failure* / therapy
Heart-Assist Devices* / adverse effects
Humans
Information Storage and Retrieval
Machine Learning
Registries