Authors:
- 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)
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Front Matter
About this book
Authors and Affiliations
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Faculty of Engineering and Applied Science, University of Regina, Regina, Canada
Raman Paranjape, Zhanle (Gerald) Wang
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Regina, Canada
Simerjit Gill
Bibliographic Information
Book Title: The Diabetic Patient Agent
Book Subtitle: Modeling Disease in Humans and the Healthcare System Response
Authors: Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-662-56291-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2018
Hardcover ISBN: 978-3-662-56289-5Published: 24 January 2018
Softcover ISBN: 978-3-662-57259-7Published: 07 June 2019
eBook ISBN: 978-3-662-56291-8Published: 30 December 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 123
Number of Illustrations: 7 b/w illustrations, 74 illustrations in colour
Topics: Computational Intelligence, Diabetes, Biomedical Engineering and Bioengineering, Artificial Intelligence, Health Informatics, Health Administration