Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction ... using the recursive feature elimination method (RFEM) and the genetic algorithm ...

Scientists from Google and its health-tech subsidiary Verily have discovered a new way to assess a person’s risk of heart disease using machine learning ... then be used to predict their ...

An automated machine-learning ... The algorithm shortens the timeframe to screen for AAC significantly, taking less than a minute to predict AAC scores for thousands of images, compared with ...

To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic resonance images ... used a machine learning algorithm called ...

They say their method could be used to predict future cardiovascular and other disease ... machine learning model. Though other algorithms have been developed to assess AAC from these types of ...

One of the ways physicians can gain some forewarning of impending heart failure ... reports, using the reports to improve the image interpretation.” A new machine learning algorithm was shown ...