This book provides a pioneering approach to modeling the human diabetic patient using a software agent. It is based on two MASc (Master of Applied Science) theses: one looking at the evolution of the patient agent in time, and another looking the interaction of the patient agent with the healthcare system. It shows that the software agent evolves in a manner analogous to the human patient and exhibits typical attributes of the illness such as reacting to food consumption, medications, and activity. This agent model can be used in a number of different ways, including as a prototype for a specific human patient with the purpose of helping to identify when that patient's condition deviates from normal variations. The software agent can also be used to study the interaction between the human patient and the health care system. This book is of interest to anyone involved in the management of diabetic patients or in societal research into the management of diabetes. The diabetic patient agent was developed using the Ackerman model for diabetes, but this model can be easily adapted for any other model subject with the necessary physiological data to support that model.

Table of contents (9 chapters)
Introduction

Paranjape, Raman (et al.)

Pages 1-8
Agent-Based Modeling and Simulation

Paranjape, Raman (et al.)

Pages 9-14
The Ackerman Mathematical Model

Paranjape, Raman (et al.)

Pages 15-22
Patient-Physician Interaction Model

Paranjape, Raman (et al.)

Pages 23-33
Simulation Results

Paranjape, Raman (et al.)

Pages 35-66
Control Patient Agent Model

Paranjape, Raman (et al.)

Pages 67-80
Self-aware Patient Agent Model

Paranjape, Raman (et al.)

Pages 81-91
Blood Glucose Monitoring Frequency Evaluation

Paranjape, Raman (et al.)

Pages 93-115
Conclusions and Future Work

Paranjape, Raman (et al.)

Pages 117-123