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Development of Clinical Decision Support Systems using Bayesian Networks

With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer

Authors: Cypko, Mario A.

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eBook 53,49 €
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  • ISBN 978-3-658-32594-7
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Softcover 67,59 €
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About this book

For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert models of multidisciplinary clinical treatment decisions and solves challenges in their modeling. The presented methods, models and tools are developed in close and intensive cooperation between knowledge engineers and clinicians. In the course of this study, laryngeal cancer serves as an exemplary treatment decision. The reader is guided through a development process and new opportunities for research and development are opened up: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter-institutional modeling and quality management.

About the authors

Dr.-Ing. Mario A. Cypko completed his PhD at the Computer Science department of the University of Leipzig, Germany. He was a postdoctoral research fellow in the Human Research Office of the European Space Agency in the Netherlands. He is currently a postdoctoral research assistant at the German Heart Center Berlin, Germany.

Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook 53,49 €
price for Spain (gross)
  • ISBN 978-3-658-32594-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 67,59 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Development of Clinical Decision Support Systems using Bayesian Networks
Book Subtitle
With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer
Authors
Copyright
2020
Publisher
Springer Vieweg
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
eBook ISBN
978-3-658-32594-7
DOI
10.1007/978-3-658-32594-7
Softcover ISBN
978-3-658-32593-0
Edition Number
1
Number of Pages
XIX, 148
Number of Illustrations
29 b/w illustrations, 10 illustrations in colour
Topics