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A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients
Computer methods and programs in biomedicine, 2011-05, Vol.102 (2), p.192-205
2011
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Integral-based parameter identification for long-term dynamic verification of a glucose–insulin system model
Computer methods and programs in biomedicine, 2005-03, Vol.77 (3), p.259-270
2005
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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
Computer methods and programs in biomedicine, 2011-05, Vol.102 (2), p.156-171
2011
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Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care
Computer methods and programs in biomedicine, 2008-02, Vol.89 (2), p.141-152
2008
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A minimal model of lung mechanics and model-based markers for optimizing ventilator treatment in ARDS patients
Computer methods and programs in biomedicine, 2009-08, Vol.95 (2), p.166-180
2009
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Validation of subject-specific cardiovascular system models from porcine measurements
Computer methods and programs in biomedicine, 2013-02, Vol.109 (2), p.197-210
2013
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Monte Carlo analysis of a new model-based method for insulin sensitivity testing
Computer methods and programs in biomedicine, 2008-03, Vol.89 (3), p.215-225
2008
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Dynamic functional residual capacity can be estimated using a stress–strain approach
Computer methods and programs in biomedicine, 2011-02, Vol.101 (2), p.135-143
2011
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Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care
Computer methods and programs in biomedicine, 2006-06, Vol.82 (3), p.238-247
2006
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Independent cohort cross-validation of the real-time DISTq estimation of insulin sensitivity
Computer methods and programs in biomedicine, 2011-05, Vol.102 (2), p.94-104
2011
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Measuring facial grimacing for quantifying patient agitation in critical care
Computer methods and programs in biomedicine, 2007-08, Vol.87 (2), p.138-147
2007
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Development of a model-based clinical sepsis biomarker for critically ill patients
Computer methods and programs in biomedicine, 2011-05, Vol.102 (2), p.149-155
2011
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Validation of subject-specific cardiovascular system models from porcine measurements: Control 2010 Special Edition
Computer methods and programs in biomedicine, 2013, Vol.109 (2), p.197-210
2013
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Dynamic functional residual capacity can be estimated using a stress―strain approach: Cardiopulmonary Modelling - Extended selected papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS'09)
Computer methods and programs in biomedicine, 2011, Vol.101 (2), p.135-143
2011
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Independent cohort cross-validation of the real-time DISTq estimation of insulin sensitivity: Glucose Modelling: Selected extended papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems
Computer methods and programs in biomedicine, 2011, Vol.102 (2), p.94-104
2011
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A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients: Glucose Modelling: Selected extended papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems
Computer methods and programs in biomedicine, 2011, Vol.102 (2), p.192-205
2011
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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: Glucose Modelling: Selected extended papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems
Computer methods and programs in biomedicine, 2011, Vol.102 (2), p.156-171
2011
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Development of a model-based clinical sepsis biomarker for critically ill patients: Glucose Modelling: Selected extended papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems
Computer methods and programs in biomedicine, 2011, Vol.102 (2), p.149-155
2011
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