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.

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

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 ...

(Courtesy: Journal of Nuclear Medicine) Predicting the future risk of heart attack is challenging, particularly in patients with coronary artery disease ... when incorporated into machine learning ...

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 ...