An agent-based simulation system for modelling a diabetic patient Online publication date: Fri, 09-Jul-2010
by Raman Paranjape, Simerjit Gill, Sara Ghoreishi Nejad, Robert Martens
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 4, No. 3, 2010
Abstract: This paper presents a new paradigm for modelling illness in the human population. In this work, we propose the development of a patient model using Software Agent technology. The Patient Agent is developed in accordance with the general parameters used in describing diabetes mellitus in terms of inputs, patient factors and outputs. Wu's (2005) mathematical model has been adapted to transform input variables such as food, exercise and medications, as well as other risk factors like age, ethnicity and gender, into the primary output variable of blood glucose. Blood pressure and heart rate signal are additionally generated using typical physical data and linear scaling. The primary contribution of this work is in the demonstration of the ability of an agent mediated system to model the indicators of illness, specifically diabetes mellitus, in a short term interval with high accuracy, and in the interactions between a patient/physician in order to produce complex, dynamic system behaviours.
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