A novel lightweight deep learning model for early prediction of cardiovascular disease
Danyal Skandri
Cardiovascular Disease (CVD) is still the main cause of death globally. Hence, to have timely clinical intervention, there is a need for the prediction of early risk models which are accurate and dependable. Here is a lightweight and strong artificial intelligence-based system for the early prediction of CVD using clinical data. We have created an end-to-end method comprising data preprocessing, stratified train and test splitting, and class imbalance treatment by SMOTE exclusively on the traini