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A model-based control protocol for transition from ICU to HDU: Robustness analysis.

, , , , and . EMBC, page 205-208. IEEE, (2013)

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Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis., , , , , , , , , and 2 other author(s). Computer Methods and Programs in Biomedicine, 102 (2): 156-171 (2011)A model-based control protocol for transition from ICU to HDU: Robustness analysis., , , , and . EMBC, page 205-208. IEEE, (2013)Impact of glucocorticoids on insulin resistance in the critically ill., , , , , , and . Computer Methods and Programs in Biomedicine, 102 (2): 172-180 (2011)Development of a model-based clinical sepsis biomarker for critically ill patients., , , , , , , , , and 1 other author(s). Computer Methods and Programs in Biomedicine, 102 (2): 149-155 (2011)Performance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care unit., , , , , , and . Computer Methods and Programs in Biomedicine, (2018)Assessment of Malaysian ICU Staff Perceptions Towards STAR Glycaemic Control Protocol., , , , , , , , and . TENCON, page 2431-2435. IEEE, (2018)Insulin Glargine in the intensive care unit: A model-based clinical trial design., , , , , and . Biomed. Signal Proc. and Control, 8 (2): 120-129 (2013)A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients., , , , , , , , and . Computer Methods and Programs in Biomedicine, 102 (2): 192-205 (2011)Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients., , , , , and . Biomed. Signal Proc. and Control, (2017)