Oncohema Key

at time k is formed by a linear weighted average of the individual predictors . (1)It is also common to restrict the weights w k to [0,1]. The possible reasons…

. A local cost c(x, u) is associated with each state x and action u. The aim of the AC algorithm is to minimize the average expected cost per state…

Fig. 1 DIAdvisor™ modeling and prediction [22] 1.3 Statement of the Problem The development of a safe predictive and advisory system, such as the DIAdvisorTM tool, would require patient-specific dynamical models…

(1) (2)where g(t) is the deviation of glucose plasma concentration from its basal value g b (in mg/dl), x(t) is the internal variable of insulin action (in min−1), i(t) is…

Fig. 1 Six steps on the pathway towards a closed-loop artificial pancreas [33] In this chapter we first review algorithms used for hypoglycemia prediction and alarms, before covering low glucose suspend…

(1) (2) (3) (4) (5) (6) (7) (8)with , and λmax = λmin + η. The definitions and units of all state variables and parameters are reported respectively in Tables 1 and 2….

Fig. 1 Left the collected experimental time-series data of plasma glucose (top panel), insulin (middle panel) and free fatty acids (FFAs) (bottom panel) from a fasting dog at rest over 10 hours…

Fig. 1 Schematics of the main processes of glucose homeostasis. Glucose is produced by the liver (endogenous glucose production) and absorbed by the gut (glucose absorption); insulin is produced by pancreatic…

Fig. 1 Representation of the glucose-insulin system; dotted line arrows indicate insulin control; adapted from [17] and [25] A simulation model that represents an input-output relationship between insulin delivery and other…

where p1, p2 and p3 are three positive parameters. The model is very simple and each term on the right-hand side would appear to make sense: variations of glycemia are…