Heart Disease Prediction Using Machine Learning

Heart Disease Prediction Using Machine Learning

Sarthak More
Computer Science and Engineering
Priyadarshini College of Engineering , Nagpur, India

Rushabh Domke
Computer Science and Engineering
Priyadarshini College of Engineering, Nagpur, India

Prof. Prashant Gowardhan
Computer Science and Engineering
Priyadarshini College of Engineering, Nagpur, India

Abstract—Heart disease is still a major cause of death worldwide, thus finding effective preventative and therapeutic measures is essential. This essay covers a wide range of topics related to heart disease, including kinds, causes, symptoms, and treatments. The critical importance of early detection & technology-driven diagnostics is emphasised. Artificial intelligence's machine learning branch proves to be a powerful tool for categorising heart diseases. In order to demonstrate how machine learning approaches, such as supervised, unsupervised, and deep learning, might improve diagnostic accuracy, the paper examines these approaches. The title selection is well-founded due to the pressing need for prompt intervention, the encouraging effects of artificial intelligence, its continuous progress, and its ability to increase awareness and funding. Our goal is to strengthen the fight against heart disease by shedding light on this intersection, which will ultimately improve patient outcomes globally.

Keywords: heart disease, prevention, treatment, early detection, machine learning, classification, artificial intelligence, technology, diagnosis, patient outcomes.