Improved Blood Glucose Forecasting Models using Changes in Insulin Sensitivity in Intensive Care Patients (2017)
ANZSRC Fields of Research32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
09 - Engineering::0903 - Biomedical Engineering
32 - Biomedical and clinical sciences::3206 - Medical biotechnology::320602 - Medical biotechnology diagnostics (incl. biosensors)
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Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas Chase, Geoff; Desaive T; Bohe J; Cnop M; De Block C; Gunst J; Hovorka R; Kalfon P; Krinsley J; Renard E; Preiser JC (2018)© 2018 The Author(s). There is considerable physiological and clinical evidence of harm and increased risk of death associated with dysglycemia in critical care. However, glycemic control (GC) currently leads to increased ...
Multi-input stochastic prediction of insulin sensitivity for tight glycaemic control using insulin sensitivity and blood glucose data Davidson S; Pretty C; Uyttendaele V; Knopp J; Desaive T; Chase, Geoff (Elsevier BV, 2019)Background: Glycaemic control in the intensive care unit is dependent on effective prediction of patient insulin sensitivity (SI). The stochastic targeted (STAR) controller uses a 2D stochastic model for prediction, with ...
Nash, M.P.; Chase, Geoff (University of Canterbury. Mechanical Engineering, 2015)