Cardiovascular Disease Prediction Using Machine Learning

Cardiovascular Diseases (CVDs) have become the leading cause of death worldwide in recent decades and are now the most dangerous illness, not just in India but throughout the world. Therefore, a system that is dependable, accurate, and workable is required to identify these illnesses in time for appropriate treatment. Large-scale and sophisticated data processing has been automated by using machine learning techniques and algorithms to a variety of medical datasets. The enormous number of deaths from heart disease must be decreased, hence a rapid and effective diagnosis method must be found. Machine learning algorithms and data mining techniques are essential in this industry. The primary goal of this effort is to use machine learning algorithms to predict a patient's cardiac problems.