Article
Dissecting heart age using cardiac magnetic resonance videos, electrocardiograms, biobanks, and deep learning
2021-06-16
Abstract excerpt
Heart disease is the first cause of death after age 65 and, with the world population aging, its prevalence is expected to starkly increase. We used deep learning to build a heart age predictor on 45,000 heart magnetic resonance videos [MRI] and electrocardiograms [ECG] from the UK Biobank cohort (age range 45-81 years). We predicted age with a root mean squared error [RMSE] of 2.81±0.02 years (R-Squared=85.6±0.2%...
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Identifiers and source
- Literature Corpus work
- c787c142-ffe5-5b25-bdf6-ceeafe6d0eae
- DOI
- 10.1101/2021.06.09.21258645
