Currently used in clinical care, the Pooled Cohort Equations (PCE) are based on regression methods that predict ASCVD risk based on cross-sectional risk factor ...
Oct 13, 2023 · Objective: To develop a ASCVD risk prediction model that incorporates longitudinal risk factors using deep learning. Methods: Our study included ...
Missing: health 10- Lifetime Project (LRPP).
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Using deep learning to incorporate longitudinal health factors into 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction in the Lifetime ...
, Norrina B. Allen: Using deep learning to incorporate longitudinal health factors into 10-year atherosclerotic cardiovascular disease (ASCVD) risk ...
Objective: The Pooled Cohort Equations (PCE) serve as the platform for quantitative risk assessment for atheroscle- rotic cardiovascular disease (ASCVD).
Estimate patient's 10-year ASCVD risk at an initial visit to establish a reference point. Forecast the potential impact of different interventions on patient ...
Missing: (LRPP). | Show results with:(LRPP).
Jan 24, 2023 · In this study, we used 6 cohorts from the Lifetime Risk Pooling Project (with 5 cohorts as training/internal validation and one cohort as ...
Using deep learning to incorporate longitudinal health factors into 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction in the Lifetime ...
... with cardiovascular disease (CVD) risk factors in 10-year old children. ... and charts to predict 10-year risk of cardiovascular disease in 182 countries.
... disease risk factors and predicted 10-year risk in a national sample of US adults. Methods A cross-sectional analysis using data from 10,455 adults aged 20 ...