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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 /

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 i...

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Main Author: Cypko, Mario A. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2020.
Edition:1st ed. 2020.
Subjects:
Knowledge representation (Information theory) .
Application software.
Artificial intelligence.
Quality of life.
Knowledge based Systems.
Computer Applications.
Artificial Intelligence.
Quality of Life Research.
Online Access:https://doi.org/10.1007/978-3-658-32594-7

Internet

https://doi.org/10.1007/978-3-658-32594-7

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