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The Diabetic Patient Agent

Modeling Disease in Humans and the Healthcare System Response

  • Book
  • © 2018

Overview

Authors:
  1. Raman Paranjape

    1. Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

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  2. Zhanle (Gerald) Wang

    1. Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

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    You can also search for this author in PubMed   Google Scholar

  3. Simerjit Gill

    1. Regina, Canada

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  • Helps diabetic patients predict their blood sugar level based on their lifestyle
  • Provides tools to evaluate and examine effects of various medical interventions, lifestyles, and frequency of blood sugar testing on patients’ health
  • Written by a leading expert in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 133)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 1-8

  3. Agent-Based Modeling and Simulation

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 9-14

  4. The Ackerman Mathematical Model

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 15-22

  5. Patient-Physician Interaction Model

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 23-33

  6. Simulation Results

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 35-66

  7. Control Patient Agent Model

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 67-80

  8. Self-aware Patient Agent Model

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 81-91

  9. Blood Glucose Monitoring Frequency Evaluation

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 93-115

  10. Conclusions and Future Work

    • Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 117-123
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Keywords

About this book

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.

Authors and Affiliations

  • Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

    Raman Paranjape, Zhanle (Gerald) Wang

  • Regina, Canada

    Simerjit Gill

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