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

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

The names and addresses of thousands of patients of the Illinois Department of Human Services were incorrectly made publicly viewable for the last several years, the agency said Friday. Several maps ...

Abstract: This study looks at integration of machine learning (ML) models with business intelligence tools for improved loan approval predictions to enhance better decision-making processes. We use a ...

Abstract: Federated Learning protects the patient's privacy while letting researchers look at devices that work together using medical information that is spread out. An important goal, therefore, is ...