Multivariate Models of Blood Glucose Prediction in Type1 Diabetes: A Survey of the State-of-the-art

What is it about?

This survey aims to assess various classical time series, neural networks and state-of-the-art regression models based on a wide variety of machine learning techniques to predict blood glucose and hyper/hypoglycemia in Type 1 diabetic patients. The analysis covers blood glucose prediction modeling, regression, hyper/hypoglycemia alerts, diabetes diagnosis, monitoring, and management.

Featured Image

Why is it important?

The automated pancreas may benefit from predictions and alerts of hyper and hypoglycemia.