Personalized Heart Disease Prediction Using Machine Learning

Personalized Heart Disease Prediction Using Machine Learning explores how modern data-driven techniques can transform cardiovascular healthcare. This book presents fundamental concepts of heart disease, key risk factors, and the application of machine learning algorithms for accurate and personalized prediction. It covers data preprocessing, feature selection, model building, and evaluation using real-world datasets. Designed for students, researchers, and healthcare professionals, the book bridges the gap between medical science and artificial intelligence. With practical examples and case studies, it highlights how predictive analytics can support early diagnosis, improve decision-making, and enable personalized treatment strategies, ultimately enhancing patient outcomes and saving lives.

T. RAMYA received the B.Tech. degree in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Anantapur, India ,in 2015 and the M.Tech . degree in Computer Science from JNTU ,Anantapur, India ,in 2017.She is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering ,Vellore ,India and she is working as an Assistant Professor in Data Science department , Mohan babu University, Tirupathi . Her Research Interest include Internet o things , Deep learning .