In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and ...

(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 sex-specific and patient-specific medicines are future of healthcare. Sex-specific ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

And their method could even be used to find new genetic markers of heart disease that existing ... as input for other machine learning models that make specific predictions. In their study ...

"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.

COMET, a novel machine learning framework ... weights were transferred to a multimodal network trained to make predictions on the omics cohort. The model achieved a Pearson correlation coefficient ...