AI-Based Heart Disease Prediction System

Abstract

Heart disease is a leading cause of death globally, requiring early and accurate detection for effective management. This study proposes an AI-based heart disease prediction system using machine learning algorithms to analyse patient data. Key features influencing heart disease are identified to enhance model accuracy and interpretability. The system, trained on publicly available datasets, achieves high prediction accuracy, demonstrating its potential as a reliable, cost-effective diagnostic tool. Integrating AI into clinical workflows can improve personalized care and patient outcomes. Future work focuses on real-time data integration and advanced AI techniques for further improvement.