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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

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Éditeur :

Springer Vieweg


Paru le : 2020-11-30



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Description
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.
Pages
148 pages
Collection
n.c
Parution
2020-11-30
Marque
Springer Vieweg
EAN papier
9783658325930
EAN PDF
9783658325947
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
6513 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
84,39 €

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