Abstract Model-based glycemic control (GC) protocols are used to treat stress-induced
hyperglycaemia in intensive care units (ICUs). The STAR (Stochastic-TARgeted) glycemic …

Background and objective Healthcare datasets are plagued by issues of data scarcity and
class imbalance. Clinically validated virtual patient (VP) models can provide accurate in …

Background: Tacrolimus shows high variability in inter-and intraindividual pharmacokinetics
(PK); therefore, it is important to develop an appropriate model for accurate therapeutic drug …

In this paper the performance of an insulin sensitivity profile estimation method is analysed
from the the aspects of clinical applicability. In our previous studies it has been …

In this paper the insulin sensitivity profile and the diffusion term as stepwise functions were
determined for the grey box variant of the ICING (Intensive Control Insulin-Nutrition-Glucose) …

Stress-induced hyperglycaemia, an elevated blood glucose level is a common complication
in the intensive care which can be compensated by glycaemic control. However, due to the …

Insulin dosing of hyperglycemic patients in the intensive care unit (ICU) is a complex and
nonlinear clinical control problem. Recent model-based glycemic control protocols predict a …

High blood glucose levels and stress-induced hyperglycemia are common issues in
intensive care units (ICU). Controlling blood glucose levels is crucial but challenging due to …

There are several methods for the prediction of future values of a time series, or in general,
for the probability density prediction problem. In this paper two neural network prediction …

Tight glycaemic control (TGC) is a treatment in the intensive care in order to avoid stress-
induced hyperglycaemia. The insulin sensitivity (SI) prediction is an essential step of the …