Subject:
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Information Retrieval and Information Systems |
Organization:
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Information Retrieval and Information Systems |
Former Organization:
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Faculty of Science, Mathematics &Computing Science
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Abstract:
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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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