An agent-based simulation system for modelling a diabetic patient. (12th July 2010)

• Record Type: Journal Article
• Authors: Paranjape, Raman; Gill, Simerjit; Nejad, Sara Ghoreishi; Martens, Robert
• Is Part Of: International journal of intelligent information and database systems. Volume 4:Number 3(2010)
• Page Start: 264
• Page End: 281
• Publication Date: 2010-07-12
• Subjects: simulation -- patient agents -- diabetes mellitus -- healthcare technology -- agent-based systems -- multi-agent systems -- MAS -- illness modelling -- diabetics -- patient monitoring -- mathematical modelling -- food -- exercise -- medication -- age -- ethnicity -- gender -- blood glucose -- blood pressure -- heart rate; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.