Prediction and Classification the Risk of Stroke Patients Using Machine Learning Techniques: A Retrospective Cross‐Sectional Study

machine learning techniques proved effective in identifying risk factors and predicting stroke severity, showing promise in enhancing stroke management strategies. The study highlighted the importance of physical inactivity and other key risk factors in stroke prediction. Consistency in risk factor importance across studies suggests common underlying factors, while acknowledging variations based on geographic and lifestyle factors.