Quantitative estimation of insulin sensitivity.

By R. Bergman, Y. Z. Ider, C. Bowden, Claudio Cobelli. 1979

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Citations in the corpus

Reinforcement Learning in Healthcare: A Survey (2019, methodology): “applied model-based VI method [123] and AC method [124] to reduce the fluctuation of the blood glucose in both fasting and post-meal scenarios, drawing on the Bergman’s minimal insulin-glucose kinetics model [125] and the Hovorka model [126] to simulate a patient.”
The UVA/PADOVA Type 1 Diabetes Simulator (2014, background): “where G(t) is plasma glucose concentration, I(t) is plasma insulin concentration, GIR(t) is exogenous glucose infusion rate, SG, SI, and p 2 are model parameters, and risk is defined as in (11-12).”
Bayesian Online Multitask Learning of Gaussian Processes (2010, methodology): “Simulated data were generated by using the minimal model of glucose kinetics (MM) [44] which, since its inception in the late seventies, has been used in hundreds of papers to describe glucose and insulin dynamics after a glucose perturbation [43].”
Use and abuse of HOMA modeling. (2004, methodology): “Types of model In contrast to curve fitting or “minimal models,” such as that described by Bergman and Cobelli (2), HOMA is one of a family of “paradigm models.”
The obesity epidemic: pathophysiology and consequences of obesity. (2002, methodology): “The relationship between insulin sensitivity and BMI is illustrated using the minimal model technique of Bergman (”
BMAL1 and CLOCK, Two Essential Components of the Circadian Clock, Are Involved in Glucose Homeostasis (2004, methodology): “They contrast with the Bmal1 / and Clockmut mice, where the counterregulatory hormone response is unimpaired.”
Qualitative behaviour of a family of delay-differential models of the glucose-insulin system (2006, methodology): “the ODEs of the Minimal Model [1, 17], or the more recent integro-di®erential equations models of [2, 11, 13]).”
Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. (2000, methodology): “To assess insulin sensitivity (SI sensitivity index, which measures the ability of insulin to enhance glucose disappearance and inhibit hepatic glucose production) and first and second phase b-cell sensitivity from plasma glucose, insulin, and C-peptide concentrations during a frequently sampled int”
Artificial Pancreas: Past, Present, Future (2011, methodology): “Many of these MPC algorithms are based on another 1979 milestone, the Minimal Model of Glucose Kinetics (17).”
The future of open‐ and closed‐loop insulin delivery systems (2008, methodology): “Perhaps the most widely used pharmacokinetic model to describe glucose and insulin kinetics is the minimal model developed by Bergman et al (1979).”
Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. (2008, background): “(14) in 1979, provides an indirect measurement of metabolic insulin sensitivity/resistance on the basis of glucose and insulin data obtained during a frequently sampled intravenous glucose tolerance test (FSIVGTT).”