Heart Disease Prediction Using Machine Learning

Heart disease remains a top global cause of death, demanding effective prevention and treatment strategies. This study thoroughly investigates various aspects of heart disease, including its types, causes, symptoms, and treatments. Special attention is given to the importance of early detection and technology-driven diagnostics. Machine learning, a subset of artificial intelligence, emerges as a powerful tool for classifying heart disease. The study explores machine learning techniques such as supervised, unsupervised, and deep learning, showcasing their potential to enhance diagnostic accuracy. The chosen title is well-supported by the urgent need for early intervention, the promising impact of machine learning, ongoing advancements, and the potential to increase awareness and investment. By shedding light on this intersection, our goal is to strengthen the fight against heart disease, ultimately improving patient outcomes worldwide.