Shifting Trends and Persistent Challenges in Heart Disease Over the Last 25 Years

Heart disease remains one of the leading causes of mortality worldwide. Accurate prediction of effective treatment outcomes can significantly improve patient care and reduce healthcare costs. This document outlines a comprehensive approach to developing a heart disease treatment prediction model using machine learning techniques. Objectives Develop a predictive model to forecast treatment outcomes for heart disease patients. Identify key factors influencing treatment success. Improve personalized treatment plans based on predictive insights.