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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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