Parameter Estimation for Nonlinear Mathematical Model
Part of the Springer Theses book series (Springer Theses)
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In this chapter, parameters are estimated for mathematical models of physiology, using glucose sensor data of free-living patients, who live their normal lifestyle of activities and meals, and are not in a clinical setting.
KeywordsFree-living Patients Glucose Sensor Data lmFit Function Virtual Patient Intravenous Glucose Tolerance Test (IVGTT)
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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