Prediction of cardiovascular disease using deep learning algorithms to prevent COVID 19
S. Malathi, Arockia Raj Y, Abhishek Kumar, Abhishek Kumar, V. Dinesh Kumar, Ankit Kumar, Ankit Kumar, D. Elangovan, V. D. Ambeth Kumar, B. Chitra, A Abirami
Abstract
The leading cause of mortality is due to cardio vascular disease (CVD) globally. CVD is the major cause of death all over the world for the past years because an estimation of 17.5 million people died from CVD in 2012 and premature death from CVD is 37% below the age of 70. In health-care field, the data generated are large, critical, and more complex and multi-dimensional. In the current situation, the medical professionals working in the field of heart disease can predict up to 67% accuracy but the doctors need an accurate prediction of heart disease. The ultimate goal of this study is to early prediction of CVD by enhancing both predictive analysis and probabilistic classification.