In this article, we review recently proposed, advanced methods, for the control of
blood glucose levels, in patients with type 1 diabetes. The proposed methods are based
on various techniques, such as predictive control, filters, and machine learning.
Results have shown that the artificial pancreas may control blood glucose levels better
than conservative insulin administration, while avoiding the risk of hypoglycemia
or hyperglycemia. The most commonly used methods for controlling blood glucose levels
are giving good results, while methods based on machine learning algorithms also offer
promising performance. Nevertheless, there are numerous challenges in designing algorithms
for the artificial pancreas, which need to be considered. The aim of this research
is to provide an overview of the latest achievements in this research field, find
the best solutions and, ultimately, improve them in the future.
