Review of Algorithms for Improving Control of Blood Glucose Levels

In this study, we review recently proposed advanced methods based on various techniques in order to improve blood glucose control while avoiding an increased risk of hypoglycemia or hyperglycemia in patients with type 1 diabetes. We introduce type 1 diabetes and the artificial pancreas and provide an overview of research advances based on predictive control, statistical processes, filters, and machine learning. Common control methods have been successfully used to control blood glucose levels while new approaches that rely on machine learning algorithms offer promising performance.