Heart Diseases Prediction Using Machine Learning

The incidence of heart infections is steadily rising, making it crucial to prevent these diseases early on. Although addressing this issue is highly complex, it must be approached with precision. This research focuses on identifying the key factors that contribute to a patient's likelihood of developing heart disease, based on various medical practices. We have developed a system to predict heart disease, assessing whether a patient is at risk based on their medical history. In this study, machine learning algorithms are employed to predict and classify heart disease patients, with a particular focus on models like regression and K-Nearest Neighbors (KNN).