rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Diabetic Patient Agent
    sub title: Modeling Disease in Humans and the Healthcare System Response
  name:
    name part: Paranjape, Raman.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Wang, Zhanle (Gerald).
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Gill, Simerjit.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 123 p. 81 illus., 74 illus. in color. online resource.
  abstract: 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: Introduction.- Agent-based Modeling and Simulation.- The Ackerman Mathematical Model.- Patient-physician interaction model.- Simulation Results.- Control patient Agent Model -- Self Aware patient Agent Model -- Blood Glucose Monitoring Frequency Evaluation.- Conclusions and future work.
  note: by Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill.
  subject:
    topic: Computational intelligence
  subject:
    topic: Diabetes
  subject:
    topic: Biomedical engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Health informatics
  subject:
    topic: Health administration
  subject:
    topic: Computational Intelligence
  subject:
    topic: Diabetes
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Health Informatics
  subject:
    topic: Health Administration
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems Reference Library, 133
  identifier: 9783662562918
  identifier: https://doi.org/10.1007/978-3-662-56291-8
  record info:
    record creation date: 171230
    record change date: 20191022023400.0
    record identifier: 978-3-662-56291-8