An Agent-Based Diabetic Patient Simulation
This paper presents a new paradigm for modeling illness in the human population. In this work we propose the development of a patient model using a Mobile Software Agent. We concentrate on Diabetes Mellitus because of the prevalence of this disease and the reality that many citizens must learn to manage their disease through some simple guidelines on their diet, exercise and medication. This form of modeling illness has the potential to forecast outcomes for diabetic patients depending on their lifestyle. We further believe that the Patient Agent could be an effective tool in assisting patients to understand their prognosis if they are not meticulous in controlling their blood sugar and insulin levels. Additionally simulation results may be used to exercise physiological data collection and presentation systems. The Patient Agent is developed in accordance with the general parameters used in archetypal Diabetes medical tests. Conventional formulae have been applied to transform input variables such as Food, Exercise, and Medications, as well as other risk factors like Age, Ethnicity, and Gender, into output variables such as Blood Glucose and Blood Pressure. The time evolution of the Patient Agent is represented through the outputs which deteriorate over the long term period.
KeywordsAgent-based modelling simulation patient agent diabetes health care system
Unable to display preview. Download preview PDF.
- 2.Canadian Diabetes Association website, As seen on December 12 (2006)Google Scholar
- 3.American Diabetes Association website, As seen on December 12 (2006)Google Scholar
- 4.Liu, Q.A.: Master Degree Thesis: A Mobile Agent System for Distributed Mammography Image Retrieval, University of Regina, Regina Saskatchewan (March 2002)Google Scholar
- 5.Gibbs, C.: TEEMA Reference Guide, Version 1.0, TRLabs Regina, Saskatchewan 2000-11-01Google Scholar
- 6.CDC: Centers for Disease Control and Prevention website As seen on December 11 (2006), http://www.cdc.gov/diabetes/statistics/prev/national
- 7.Boutayeb, A., Chetouani, A.: A Critical Review of Mathematical Models and Data used in Diabetology., BioMedical Engineering Online 2006, 5:43 (June 2006)Google Scholar
- 9.Wu, H.-I.: A Case Study of Type 2 Diabetes Self-Management., BioMedical Engineering Online 2005, 4:4 (January 2005)Google Scholar
- 10.As seen on December 12 (2006), http://www.nutritiondata.com/glycemic-index.html
- 11.Canadian Coalition for High Blood Pressure Prevention and Control website, As seen on December 12 (2006)Google Scholar
- 12.As seen on December 12 (2006), http://www.healthsystem.virginia.edu/uvahealth/adult_diabetes/hbp.cfm
- 14.As seen on December 12 (2006), http://www.webmd.com/hw/heart_disease/hw233473.asp