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Bayesian networks for clinical decision support: A rational approach to dynamic decision-making under uncertainty
36
Zitationen
1
Autoren
2007
Jahr
Abstract
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesian networks are used as a framework for (dynamic) decision-making under uncertainty and applied to a variety of diagnostic, prognostic, and treatment problems in medicine. It is shown that the proposed models perform well in realistic settings
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