Showing items related by title, author, creator and subject.

• Development and optimisation of stochastic targeted (STAR) glycaemic control for pre-term infants in neonatal intensive care 

  Dickson, J.L.; Le Compte, A.J.; Floyd, R.P.; Chase, Geoff; Lynn, A.; Shaw, Geoff (University of Canterbury. Chemical and Process EngineeringUniversity of Canterbury. Mechanical Engineering, 2013)

  Hyperglycaemia is a common complication of prematurity and stress in neonatal intensive care units (NICUs). It has been linked to worsened outcomes and mortality. There is currently no universally accepted best practice ...

• Development and optimisation of stochastic targeted (STAR) glycaemic control for neonatal intensive care 

  Dickson, J.L.; Le Compte, A.J.; Floyd, R.P.; Chase, Geoff; Lynn, A.; Shaw, Geoff (University of Canterbury. Mechanical Engineering, 2012)

  Hyperglycaemia is a common complication of prematurity and stress in neonatal intensive care units (NICUs). It has been linked to worsened outcomes and mortality. There is currently no universally accepted best practice ...

• Stochastic Model Predictive (STOMP) Glycaemic Control for the Intensive Care Unit: Development and virtual trial validation 

  Stewart, K.W.; Pretty, C.G.; Tomlinson, H.; Fisk, L.; Shaw, Geoff; Chase, Geoff (University of Canterbury. Mechanical Engineering, 2015)

  Critically ill patients often experience stress-induced hyperglycaemia, which results in increased morbidity and mortality. Glycaemic control (GC) can be implemented in the intensive care unit (ICU) to safely manage ...