A Study On Cardiovascular Disease Detection In Diabetic Patients

cardiovascular diseases (CVD) represent the major cause of mortality and morbidity among the diabetic patients. The risk of developing CVD is significantly higher for individuals with diabetes, being 2-4 times greater compared to those without the condition. The increase in the risk of CVD hangs on numerous factors like hypertension, insulin resistance, dyslipidemia, gender, lifestyle factors and duration of diabetes and hyperglycemia. Healthcare professionals support an integrated approach which addresses all cardiovascular risk factors including the glucose control in patients with diabetes mellitus (DM). This study explores the existing methodologies and tools to examine cardiovascular risk in diabetic patients. The study aims to identify the most effective strategies for the early detection and prevention of CVD in a high-risk population. To achieve this, the study examines various DL and ML approaches for managing diabetic patients at increased cardiovascular risk. It reviews recent developments and highlights the performance of both ML and DL models in CVD risk assessment, focusing on their efficiency, accuracy, and potential clinical impact.