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

Background: Anxiety and depression are associated with cardiovascular disease (CVD). We aimed to investigate whether adding measures of anxiety and depression to the American Heart Association ...

A new study by Google and its health-focused Alphabet-sibling, Verily Life Sciences, has shown that deep-learning algorithms can accurately predict heart disease by analyzing photographs of an ...

The heart-risk assessment has also been improved in several other significant ways. It can be used by people as young as 30, unlike the earlier algorithm, which was only valid for those 40 and ...