Tag: CVD
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Development and Validation of an AI-Based Model for Cardiovascular Disease Prediction in Iran Using Longitudinal Data
Overview Cardiovascular disease (CVD) remains a leading cause of mortality in Iran, underscoring the need for accurate, data-driven risk prediction tools. This study introduces an artificial intelligence (AI) based model designed to predict CVD events by leveraging longitudinal health data. By comparing advanced deep learning techniques with a traditional (yet sophisticated) mixed-effects logistic regression approach,…
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Digital Peer Support for Cardiovascular Disease: A Framework
Introduction Cardiovascular disease (CVD) remains a leading cause of death worldwide, with secondary prevention playing a crucial role in reducing readmissions and improving quality of life. Traditional cardiac rehabilitation has emphasized in-person, group-based formats, but challenges such as low attendance persist. This qualitative study investigates how peer support—grounded in lived experience—can be delivered in both…