Prediction Performance Comparison between three Intensive Care Unit Glucose Models

In this paper the prediction performance of two models that were particularly developed for predicting the blood glucose signal in critically ill patients, and a third (rather ‘naive’) model were compared. The imposed real-life conditions were challenging as the prediction processes started at time step 1 (comparable to the admission of a patient at the intensive care unit) and the prediction horizon was set at 4 hours (although accurate prediction of the blood glucose signal in the initial phase after admission is difficult due to lack of patient-specific data). The results of one of the models was satisfactory in terms of forecasting ability and showed its potential to be validated for use in a predictive control system in real-life. Copyright ©2009 IFAC