Background This research uses machine learning (ML) models to determine significant predictive factors for CVD events in Iran, a country with high mortality rates. The study evaluates the effectiveness of deep learning and mixed-effects logistic models in predicting 10-year CVD incidence using longitudinal TLGS data. Methods A total of 4,872 adults aged ≥ 30 years without a history of CVD at basel https://bmcmedinformdecism...