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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 (Paperback, 1st ed. 2020)
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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 (Paperback, 1st ed. 2020)
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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.
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