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Modelling Expert Uncertainty in Medical Decision Support

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If you have a question about this talk, please contact Lars Kunze.

Host: Prof. Xin Yao

Medical decision making is often difficult, requiring complex decisions in the presence of much uncertainty (both in data and in domain knowledge). In this talk, I shall present some of the recent work we have carried out in modelling uncertainty whilst performing various clustering and classification tasks to support medical decision making. In particular, I will focus on the variability exhibited by human decision makers, and how modelling this may lead to improved decision making.

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This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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