Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction ... The proposed approaches use modern technology and feature selection procedures to ...

Using the machine learning models ... the risk elements associated with heart disease. Innovative technologies have great potential to predict the risks associated, enhancing risk prognosis.

Researchers may be able to predict ... said the use of AI and machine learning can accelerate our ability to identify genes that have important implications for cardiovascular disease, which ...

And their method could even be used to find new genetic markers of heart disease ... machine learning models that make specific predictions. In their study, the team first trained their ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

When it comes to matters of the heart ... Using machine learning, the researchers determined that of the tested metrics, EKGs were most effective at improving the detection of cardiovascular ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep ... Moreover, the ...