Implementation of Heart Disease Prediction Using PCA Classification Algorithm

Heart disease and stroke are the two leading causes of death worldwide, accounting for one in every four deaths in India. These diseases are the main causes of death in this country. Based on data from the World Health Organization (WHO), cardiovascular disease causes around 24% of non-communicable illness-related deaths in India. The primary cause of these deaths is Heart disease or Coronary Artery Disease (CVD). Furthermore, in industrialized countries such as the United States of America and other rich nations, coronary heart disease is the primary cause of death. Every year almost 17 million people worldwide pass away from cardiovascular disease, Asia has the highest death rate from cardiovascular disease, making it the leading cause of death worldwide. Prediction of heart disease is done by many traditional methods, these methods are time-consuming and not accurate. Therefore, to overcome these issues Principle of Component Analysis (PCA) is used in this analysis.