Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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 ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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, ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...