Browsing: Heart Disease

The use of Artificial Intelligence (AI) in healthcare has expanded to include the stethoscope, with the development of a deep-learning algorithm that can screen…

Researchers have developed a machine learning-based heart disease prediction model that uses various combinations of information and recognized categorization methods. The model shows promising…

This article discusses the challenges of using traditional machine learning methods for heart disease diagnosis and proposes a hybrid deep learning model for large…

This article discusses the use of advanced machine learning and deep learning techniques in diagnosing and predicting heart disease. By incorporating feature selection and…

This article discusses a novel approach for detecting heart disease using audio signals and a combination of machine learning and deep learning models. The…

This study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with…

This study examines the use of machine learning (ML) techniques for diagnosing and predicting heart disease by analyzing healthcare data. Eight ML classifiers were…

Heart disease is the leading cause of death in the United States, the UK, and worldwide. To improve the prediction and prevention of heart…