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

Predicting the future risk of heart attack is challenging, particularly in patients with coronary artery disease. Advanced imaging can help: CTA can be used to quantitatively analyse coronary plaque, ...

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.

A new machine learning/artificial intelligence score provided an accurate forecast of the likelihood of patients with suspected or known coronary artery disease within 10 years.

Now, scientists have used machine learning to build new and improved models, which could especially improve risk prediction for women. They also found that for certain heart conditions, women are ...

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

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.

We hypothesize that these data can be used to improve prediction of acute graft-versus-host disease. Each row in the plot represents a patient in the study cohort. For clarity, the darkest color in ...