Hypoglycemia Early Alarm Systems Based on Recursive Autoregressive Partial Least Squares Models

Abstract

The RARPLS models developed provide satisfactory glucose prediction with relatively smaller error than other proposed algorithms and are good candidates to forecast and warn about potential hypoglycemia unless preventive action is taken far in advance.