Deep Learning and Data Mining Techniques For Cardiovascular Disease Prediction: A Survey

According to the American Heart Association, cardiovascular diseases (CVDs) will be the leading cause of death globally in 2022, claiming the lives of an estimated 19.1 million people per year. The age-adjusted death rate per 100,000 population was 239. S. With the support of medical technology innovation, we can create models that effectively forecast heart illnesses utilizing deep learning (DL), and data mining (DM). The outcome of this survey paper is which model and technique are best to detect whether a person has CVD or not. This literature survey an overview of heart disease and its techniques to predict disease discussed in the introduction. A detailed examination of the most important strategies for heart disease prediction available in the literature is provided. This accurate prediction method will also help doctors reduce the number of heart disease-related deaths.