Pancreas modelling by a deterministic optimisation method

Authors:
Dayu Lv;Bill Goodwine
Affiliations:
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.;Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2011

Citing 3
Cited 0

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Abstract

Diabetes mellitus is a disease characterised by abnormally high glucose concentration, insulin dysfunction and resistance which may lead to health problems such as cardiovascular disease. This paper presents a mechanistic pancreas model of insulin dynamics which incorporates experimental physiological data. This model will provide an efficient and accurate way to determine the specifics of a metabolic problem in the pancreas. We use Intravenous Glucose Tolerance Test (IVGTT) data from the literature to identify the model parameters by implementing a deterministic optimisation method called DIRECT (DIviding RECTangles). Different data sets are used for optimisation and validation.