Machine learning model detects heart attacks faster and more accurately than current methods
A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a study led by University of Pittsburgh researchers that published today in Nature Medicine.
Source: news-medical.net