A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

A new machine learning/artificial intelligence score provided an accurate forecast of the likelihood of patients with suspected or known coronary artery disease within 10 years.

“Our study supports the use of artificial intelligence methods for integrating multimodality imaging and clinical data for robust prediction of heart attacks,” he explains. “Our current efforts focus ...

To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic resonance images (MRIs) to map its structure. Because the two ...

A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.

Now, scientists have used machine learning to build new and improved models, which could especially improve risk prediction for women. They also found that for certain heart conditions, women are ...

Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary ...