A novel, machine-learning model for prediction of short-term ASCVD risk over 90 and 365 days

• मुख्य लेखकों: Tomer Gazit (लेखक), Hanan Mann (लेखक), Shiri Gaber (लेखक), Pavel Adamenko (लेखक), Granit Pariente (लेखक), Liron Volsky (लेखक), Amir Dolev (लेखक), Helena Lyson (लेखक), Eyal Zimlichman (लेखक), Jay A. Pandit (लेखक), Edo Paz (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Frontiers Media S.A., 2024-11-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

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...