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A study on glucose metabolism: Comp...
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Leesirikul, Meta.
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A study on glucose metabolism: Computer simulation and modeling.
Record Type:
Electronic resources : Monograph/item
Title/Author:
A study on glucose metabolism: Computer simulation and modeling./
Author:
Leesirikul, Meta.
Description:
142 p.
Notes:
Source: Masters Abstracts International, Volume: 43-06, page: 2346.
Contained By:
Masters Abstracts International43-06.
Subject:
Engineering, Electronics and Electrical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426989
ISBN:
054213764X
A study on glucose metabolism: Computer simulation and modeling.
Leesirikul, Meta.
A study on glucose metabolism: Computer simulation and modeling.
- 142 p.
Source: Masters Abstracts International, Volume: 43-06, page: 2346.
Thesis (M.S.)--Florida Atlantic University, 2005.
Sorensen's model of glucose metabolism and regulation is reconstructed using SimulinkRTM. Most of the existing glucose metabolism models consist of several mass balance equations that interact with each others. Graphical format used by SimulinkRTM provides a visualized perspective of such relations so that it is easier to modify the model on ad hoc basis.
ISBN: 054213764XSubjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
A study on glucose metabolism: Computer simulation and modeling.
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A study on glucose metabolism: Computer simulation and modeling.
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142 p.
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Source: Masters Abstracts International, Volume: 43-06, page: 2346.
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Advisers: P. S. Neelakanta; Z. Roth; S. Morgera.
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Thesis (M.S.)--Florida Atlantic University, 2005.
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Sorensen's model of glucose metabolism and regulation is reconstructed using SimulinkRTM. Most of the existing glucose metabolism models consist of several mass balance equations that interact with each others. Graphical format used by SimulinkRTM provides a visualized perspective of such relations so that it is easier to modify the model on ad hoc basis.
520
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Type-I and Type-II diabetes with relevant clinical details are simulated. Further, a control strategy is introduced in order to simulate the control of exogenous insulin pump. Simulated results are consistent with available clinical data.
520
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Living systems in general, exhibit both stochastical and deterministic characteristics. Activities such as glucose metabolism traditionally modeled do not include stochastical properties, nor that they are viewed in the large framework of complex system with explicit interaction details. Currently, a complexity system model is developed to describe the glucose metabolism related activities. The simulation results obtained thereof illustrate the bounding domain of variations in some clinically observed details.
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School code: 0119.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426989
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