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)

A model-based control protocol for transition from ICU to HDU: Robustness analysis. - Normy N. Razak; J. Geoffrey Chase; Fatanah M. Suhaimi; Geoffrey M. Shaw; Ummu K. Jamaludin (EMBC, 2013)

Insulin Glargine in the intensive care unit: A model-based clinical trial design. - Jonathan G. Willis; Liam M. Fisk; Normy N. Razak; Aaron J. Le Compte; Geoffrey M. Shaw; J. Geoffrey Chase (Biomed. Signal Process. Control., 2013)

Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients. - Fatanah M. Suhaimi; J. Geoffrey Chase; Christopher G. Pretty; Geoffrey M. Shaw; Normy N. Razak; Ummu K. Jamaludin (Biomed. Signal Process. Control., 2017)

Linking Bayesian Network and Intensive Care Units Data: A Glycemic Control Study. - Asma Abu-Samah; Normy Norfiza Abdul Razak; Fatanah Mohamad Suhaimi; Ummu Kulthum Jamaludin; J. Geoffrey Chase (TENCON, 2018)

Assessment of Malaysian ICU Staff Perceptions Towards STAR Glycaemic Control Protocol. - Athirah Abdul Razak; Asma Abu-Samah; Normy N. Razak; S. Baharudin; Fatanah M. Suhaimi; Ummu Kulthum Jamaludin; Azrina Md Ralib; Mohd Basri Mat Nor; Christopher G. Pretty (TENCON, 2018)

Performance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care unit. - Ummu K. Jamaludin; Fatanah M. Suhaimi; Normy N. Razak; Azrina Md Ralib; Mohd Basri Mat Nor; Christopher G. Pretty; Luqman Humaidi (Comput. Methods Programs Biomed., 2018)

Modeling Dynamic Patients Variables to Renal Failure in the Intensive Care Unit Using Bayesian Networks. - Norliyana Nor Hisham Shah; Athirah Abdul Razak; Normy N. Razak; Agileswari K. Ramasamy; Asma Abu-Samah; M. S. Hasan (ICSET, 2021)

Machine Learning Classification for Blood Glucose Performances Using Insulin Sensitivity and Respiratory Scores in Diabetic ICU Patients. - Athirah Abdul Razak; Radiyati Umi Partan; Normy Norfiza Razak; Asma Abu-Samah; Norliyana Nor Hisham Shah; Mohd Shahnaz Hasan (IVIC, 2021)

Model-Based Glycaemic Control in Critically Ill Diabetes Mellitus Patients: Monte Carlo Sensitivity Analysis. - Athirah Abdul Razak; Normy N. Razak; Norliyana Nor Hisham Shah; Jay Wing Wai Lee; Asma Abu-Samah; J. Geoffrey Chase (ICBET, 2022)

Machine Learning in Ambient Assisted Living for Enhanced Elderly Healthcare: A Systematic Literature Review. - Aabid Ahmad Mir; Ahmad Shahrafidz Khalid; Shahrulniza Musa; Mohammad Faizal Ahmad Fauzi; Normy Norfiza Abdul Razak; Tong Boon Tang (IEEE Access, 2025)