Article

Data-driven discovery of core sleep biomarkers for predicting early cardiometabolic risk in a healthy population using machine learning

2025-06-16

Abstract excerpt

<h4>Background</h4> Identifying robust biomarkers for future cardiometabolic risk within the crucial “ preventive window” in healthy individuals remains a major challenge. While numerous sleep metrics are linked to health, their hierarchical importance is unknown. This study aimed to leverage a data-driven machine learning paradigm to move beyond conventional metrics and objectively identify the core sleep-related...

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Literature Corpus work: 7ceee984-ebb8-5ec5-ad25-4b52ed95630c
DOI: 10.1101/2025.06.15.25329640

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