Self-supervised embeddings of PSG signals, projected onto disease-specific latent directions, add modest predictive value to the Framingham Risk Score for cardiovascular outcomes.
Association of objectively measured sleep characteristics and hypertension: analysis from the Multi -Ethnic Study of Atherosclerosis (MESA)
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Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography
Self-supervised embeddings of PSG signals, projected onto disease-specific latent directions, add modest predictive value to the Framingham Risk Score for cardiovascular outcomes.