Bayesian networks for clinical decision support: A rational approach to dynamic decision-making under uncertainty
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[S.l. : s.n.]
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RU Radboud Universiteit Nijmegen, 5 september 2007
Promotor : Weide, Th.P. van der Co-promotor : Lucas, P.J.F.
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Information Retrieval and Information Systems
Faculty of Science, Mathematics &Computing Science
SubjectInformation Retrieval and Information Systems
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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