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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- About this book
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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
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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)
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Introduction
Pages 3-5
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Tumor Board Decision for Larynx Cancer Patients
Pages 7-14
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Development of a Clinical Decision Support System
Pages 15-26
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Clinical Decision Model using Bayesian Networks
Pages 27-46
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Patient-specific Bayesian Network in a Clinical Environment
Pages 49-56
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Table of contents (11 chapters)
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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
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- Mario A. Cypko
- 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
