EARLY DETECTION OF CARDIOVASCULAR DISEASE USING ARTIFICIAL INTELLIGENCE-A SURVEY PAPER

The early detection of cardiovascular disease (CVD) is crucial for effective prevention and management. In recent years, advancements in machine learning have provided new opportunities for the development of AI-based solutions for early cardiovascular disease detection.. Results from various studies suggest that machine learning algorithms have the potential to outperform traditional methods for early cardiovascular disease detection. However, several challenges remain, including the need for large and diverse datasets, the development of standardized evaluation metrics, and the integration of AI into clinical practice. Despite these challenges, machine learning holds great promise for the early detection of cardiovascular disease and is expected to play a significant role in the prevention and management of this disease in the future.