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

• Үндсэн зохиолчид: Tomer Gazit (Зохиогч), Hanan Mann (Зохиогч), Shiri Gaber (Зохиогч), Pavel Adamenko (Зохиогч), Granit Pariente (Зохиогч), Liron Volsky (Зохиогч), Amir Dolev (Зохиогч), Helena Lyson (Зохиогч), Eyal Zimlichman (Зохиогч), Jay A. Pandit (Зохиогч), Edo Paz (Зохиогч)
• Формат: Ном
• Хэвлэсэн: Frontiers Media S.A., 2024-11-01T00:00:00Z.
• Нөхцлүүд: article
• Онлайн хандалт: 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...