Development of Clinical Decision Support Systems using Bayesian Networks: With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer - Softcover

Cypko, Mario A.

 
9783658325930: Development of Clinical Decision Support Systems using Bayesian Networks: With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer
Softcover
ISBN 10: 3658325933 ISBN 13: 9783658325930
Publisher: Springer Vieweg, 2020

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

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.


Contents
  • Patient-specific Bayesian Network in a Clinical Environment
  • TreLynCa: A Tumor Board Decision Model for Laryngeal Cancer
  • Model Validation and Tools for Guided BN Modeling
  • GUI for PSBN-based decision verification
Target Groups
Scientists and students in the field of medical informatics, computer science, medicine and psychology

About the Author
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.

"About this title" may belong to another edition of this title.

Publisher
Springer Vieweg
Publication date
2020
Language
English
ISBN 10 
3658325933
ISBN 13 
9783658325930
Binding
Paperback
Edition number
1
Number of pages
167