Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...