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The Diabetic Patient Agent

Modeling Disease in Humans and the Healthcare System Response

  • Raman Paranjape
  • Zhanle (Gerald) Wang
  • Simerjit Gill

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 1-8
  3. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 9-14
  4. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 15-22
  5. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 23-33
  6. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 35-66
  7. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 67-80
  8. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 81-91
  9. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 93-115
  10. Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
    Pages 117-123

About this book

Introduction

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.

Keywords

Agent-based Modelling Diabetic Patient Model Health-care Modelling and Simulation Hospital Planning Intelligent Systems Patient Education

Authors and affiliations

  • Raman Paranjape
    • 1
  • Zhanle (Gerald) Wang
    • 2
  • Simerjit Gill
    • 3
  1. 1.Faculty of Engineering and Applied ScienceUniversity of ReginaReginaCanada
  2. 2.Faculty of Engineering and Applied ScienceUniversity of ReginaReginaCanada
  3. 3.ReginaCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-56291-8
  • Copyright Information Springer-Verlag GmbH Germany 2018
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-56289-5
  • Online ISBN 978-3-662-56291-8
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site