Future Prediction of Cardiovascular Disease Using Deep Learning Technique

Abstract

Cardiovascular disease is the one of the most leading causes of death. Based on symptoms and risk factors the diagnosis of heart can be done. Predicting the cardiovascular disease in the early stage can save the human being. There is no complete cure which reduces the risk of CVD. Deep learning technique has been used to predict the CVD in a prior stage. Based on the symptoms and risk factors, the CVD has been classified into four types such as No heart disease and no symptoms, Structural Heart Disease without symptoms, Structural Heart Disease with Symptoms and the risk factor for Heart failure are “High blood pressure, high cholesterol, genetic, diabetes, obesity is the major risk factors” to identify the cardiovascular disease and current technique is used to control the risks. To manage all the risk factors Electrocardiography (ECG) method is used to manipulate based on particular situation.