Article

Integrating Phenotypic Information of Obstructive Sleep Apnea and Deep Representation of Sleep-Event Sequences for Cardiovascular Risk Prediction

2024-03-15

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Advances in mobile, wearable and machine learning (ML) technologies for gathering and analyzing long-term health data have opened up new possibilities for predicting and preventing cardiovascular diseases (CVDs). Meanwhile, the association between obstructive sleep apnea (OSA) and CV risk has been well-recognized. This study seeks to explore effective strate...

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Literature Corpus work: 555d4985-09e9-5518-a513-a9dc58774957
DOI: 10.21203/rs.3.rs-4084889/v1

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