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Engineering - Biomedical Engineering | Data-driven Modeling for Diabetes - Diagnosis and Treatment

Data-driven Modeling for Diabetes

Diagnosis and Treatment

Marmarelis, Vasilis, Mitsis, Georgios (Eds.)

2014, X, 237 p. 74 illus., 40 illus. in color.

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  • Presents a unique collection of model-based studies related to diabetes
  • Provides model-based strategies for early and sensitive diagnosis of diabetes
  • Includes practical model-based methods for online glycemic control
  • Written by leading experts in the field
This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.

Content Level » Research

Keywords » Computational Models of Diabetes - Diabetes Mellitus - Diagnostic Tool - Implanted Micro-pumps - Long-term Glucose Regulation - Online Glycemic Control

Related subjects » Biomedical Engineering - Human Physiology - Internal Medicine

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