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Updated: May 14, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Data assimilation of glucose dynamics for use in the intensive care unit
Madineh Sedigh-Sarvestani1, David J Albers, Bruce J Gluckman
1Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA. mus236@psu.edu
Abstract:
We know much about the glucose regulatory system, yet the application of this knowledge is limited because simultaneous measurements of insulin and glucose are difficult to obtain. We present a data assimilation framework for combining sparse measurements of the glucose regulatory system, available in the intensive care unit setting, with a nonlinear computational model to estimate unmeasured variables and unknown parameters. We also demonstrate a method for choosing the best variables for measurement. We anticipate that this framework will improve glucose maintenance therapies and shed light on the underlying biophysical process.
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