Based on a variety of medical attributes, we employ Machine Learning algorithms to identify potential heart disease in people. This paper presents an IoT- based prediction system for heart disease ...

The objective was to develop sex-specific prediction models for successful electrical cardioversion and assess the potential of machine learning methods in comparison with traditional logistic ...

Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

Cardiovascular disease (CVD) risk prediction models have improved the ability to stratify adults across the CVD risk spectrum ...

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and ...

Subtle signs of heart disease you should never ignore including stomach pain Cardiovascular disease is responsible for a quarter of all deaths in the UK, claiming around 170,000 lives each year ...

Traditional operative risk calculators, such as the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), ...

Readmission Reduction in the Structural Heart Population Using Risk Stratification and Targeted Interventions ...

In systolic heart failure, the left ventricle becomes weak and can't contract and work the way it should. There's no cure, but you can make lifestyle changes to help treat it.

Health News Red Meat Hurts Your Heart, Right? Scientists Find That May Not Be True A new study finds that eating red meat isn’t associated with increased risk of cancer or heart disease.

The widespread use of data mining is a direct result of the practice's first success in more public arenas like marketing, e-commerce, and retail. Discoveries in healthcare are among them. Data is ...