In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... representative datasets, including deep learning using the MLDCNN ...

(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 ...

A study by scientists shows machine learning models improve prediction of heart disease in women and that ... The conventional methods for analyzing a dataset use tabulations of a limited number ...

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 ...

"While traditional clinical models are easy to use, we can now use machine learning ... factors for heart disease. Leveraging new technologies is a promising way to improve risk prediction.

Melkani envisions using ... heart models, providing valuable insights into cardiac health and disease. Incorporating uncertainty quantification methods could further enhance the reliability of our ...

Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using ... the machine learning approach can predict cardiac aging ...