A novel, machine-learning model for prediction of short-term ASCVD risk over 90 and 365 days
BackgroundCurrent atherosclerotic cardiovascular disease (ASCVD) risk assessment tools like the Pooled Cohort Equations (PCEs) and PREVENT™ scores offer long-term predictions but may not effectively drive behavior change. Short-term risk predictions using mobile health (mHealth) data and electronic...
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Frontiers Media S.A.,
2024-11-01T00:00:00Z.
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A1234.567 |
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