Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis. - J. Geoffrey Chase; Aaron J. Le Compte; Fatanah Suhaimi; Geoffrey M. Shaw; Adrienne Lynn; Jessica Lin 002; Christopher G. Pretty; Normy N. Razak; Jacquelyn D. Parente; Christopher E. Hann; Jean-Charles Preiser; Thomas Desaive (Comput. Methods Programs Biomed., 2011)

Development of a model-based clinical sepsis biomarker for critically ill patients. - Jessica Lin 002; Jacquelyn D. Parente; J. Geoffrey Chase; Geoffrey M. Shaw; Amy J. Blakemore; Aaron J. Le Compte; Christopher G. Pretty; Normy N. Razak; Dominic S. Lee; Christopher E. Hann; Sheng-Hui Wang (Comput. Methods Programs Biomed., 2011)

A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients. - Jessica Lin 002; Normy N. Razak; Christopher G. Pretty; Aaron J. Le Compte; Paul Docherty 001; Jacquelyn D. Parente; Geoffrey M. Shaw; Christopher E. Hann; J. Geoffrey Chase (Comput. Methods Programs Biomed., 2011)

Impact of glucocorticoids on insulin resistance in the critically ill. - Christopher G. Pretty; J. Geoffrey Chase; Jessica Lin 002; Geoffrey M. Shaw; Aaron J. Le Compte; Normy N. Razak; Jacquelyn D. Parente (Comput. Methods Programs Biomed., 2011)

Quantifying misclassification and bias errors due to hierarchical sepsis scores in real-time sepsis diagnosis. - Jacquelyn D. Parente; J. Geoffrey Chase; Knut Moeller; Geoffrey M. Shaw (Biomed. Signal Process. Control., 2020)

Kernel density estimates for sepsis classification. - Jacquelyn Dawn Parente; J. Geoffrey Chase; Knut Möller; Geoffrey M. Shaw (Comput. Methods Programs Biomed., 2020)

High Inter-Patient Variability in Sepsis Evolution: A Hidden Markov Model Analysis. - Jacquelyn D. Parente; J. Geoffrey Chase; Knut Moeller; Geoffrey M. Shaw (Comput. Methods Programs Biomed., 2021)