Title: Pancreas modelling by a deterministic optimisation method

Authors: Dayu Lv, Bill Goodwine

Addresses: 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

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.

Keywords: pancreas modelling; metabolic simulation; DIRECT method; bioinformatics; diabetes mellitus; insulin dynamics; intravenous glucose tolerance test; physiological data.

DOI: 10.1504/IJDMB.2011.040386

International Journal of Data Mining and Bioinformatics, 2011 Vol.5 No.3, pp.308 - 320

Published online: 25 May 2011 *

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