Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information

Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information

BackgroundHeart failure (HF) hospitalization is a dominant contributor of morbidity and healthcare expenditures in patients with systolic HF. Cardiovascular magnetic resonance (CMR) imaging is increasingly employed for the evaluation of HF given capacity to provide highly reproducible phenotypic mar...

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Bibliographic Details
Main Authors: Aidan K. Cornhill, Steven Dykstra, Alessandro Satriano, Dina Labib, Yoko Mikami, Jacqueline Flewitt, Easter Prosio, Sandra Rivest, Rosa Sandonato, Andrew G. Howarth, Carmen Lydell, Cathy A. Eastwood, Hude Quan, Nowell Fine, Joon Lee, James A. White
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiovascular magnetic resonance imaging
machine learning
heart failure hospitalization
prediction
systolic heart failure (HF)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.890904/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2022.890904/full

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