Tag: Mixed-Effects Model
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AI-Driven CVD Prediction from Longitudinal Iran Data: Development and Validation
Overview Cardiovascular disease (CVD) remains a leading cause of mortality worldwide, with Iran experiencing particularly high rates. This article summarizes a study that develops and validates an artificial intelligence (AI) based model to predict CVD events using longitudinal health data collected over time. By leveraging deep learning and mixed-effects logistic modeling, the research aims to…
