The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
The Cardiology Advisor

STS: Study Examines Prediction Models for Reoperation Risk in Congenital Heart Disease

Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Time

The New Way to Predict Your Risk of a Heart Attack

Haupt is a health and wellness editor at TIME. Haupt is a health and wellness editor at TIME. More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor ...
IEEE

Cardiovascular Disease Prediction Using Fusion Feature-Driven Deep Learning

Abstract: Electrocardiogram (ECG) readings play a vital role in diagnosing cardiovascular diseases, including arrhythmias, a condition that has abnormal ECG heart rhythms. Consumer electronic devices ...