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

• প্রধান লেখক: Tomer Gazit (লেখক), Hanan Mann (লেখক), Shiri Gaber (লেখক), Pavel Adamenko (লেখক), Granit Pariente (লেখক), Liron Volsky (লেখক), Amir Dolev (লেখক), Helena Lyson (লেখক), Eyal Zimlichman (লেখক), Jay A. Pandit (লেখক), Edo Paz (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Frontiers Media S.A., 2024-11-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: 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...