El-Sayed M. El-Horbaty

A multimodal risk stratification model using deep learning and tabular data

A deep learning–based framework for the simultaneous prediction of CVD and stroke risks using tabular health data and the potential of interpretable deep learning models to support early, data-driven risk stratification of cardiovascular and stroke risks directly from cross-sectional tabular data is proposed.