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

Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...

Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

More information: Yuan Zhao et al, Social Determinants in Machine Learning Cardiovascular Disease Prediction Models: A Systematic Review, American Journal of Preventive Medicine (2021).

This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

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, ...

The use of machine learning models identified three distinct subtypes of Parkinson’s disease, which could have immediate implications in detecting clinical outcomes.