A Machine Learning-Based Model for Predicting the Risk of Cardiovascular Disease

A growing number of medical studies have used deep learning and machine learning for the modeling and early prediction of cardiovascular disease (CVD) risk. Modern hospitals have constructed sizeable medical data sets to predict abnormal blood pressure (BP), abnormal heart vessels, and other cardiac indicators. However, hypertension has also been demonstrated to be a risk factor for cardiovascular disease and stroke. In this paper, machine learning-based and statistic-based approaches were applied to medical data to significantly identify the disease to prevent serious illness. Furthermore, lightweight BP monitoring devices that can be used at home have enabled regular BP monitoring to predict CVD risks for early treatment.