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

BACKGROUND: Heart 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 m...

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Detalles Bibliográficos
Autores principales: Cornhill, Aidan K., Dykstra, Steven, Satriano, Alessandro, Labib, Dina, Mikami, Yoko, Flewitt, Jacqueline, Prosio, Easter, Rivest, Sandra, Sandonato, Rosa, Howarth, Andrew G., Lydell, Carmen, Eastwood, Cathy A., Quan, Hude, Fine, Nowell, Lee, Joon, White, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245012/
https://www.ncbi.nlm.nih.gov/pubmed/35783851
http://dx.doi.org/10.3389/fcvm.2022.890904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245012/
https://www.ncbi.nlm.nih.gov/pubmed/35783851
http://dx.doi.org/10.3389/fcvm.2022.890904

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