Abstract
In general, the presented methodologies and tools are independent of this specific disease and could be applied to decisions of other domains with a similar model and modeling complexity. The model complexity relates to decisions 1) with uncertainties, 2) integrating multidisciplinary domains, 3) providing deep explanations, and 4) being adjustable to local conditions. The modeling complexity relates to 1) limited evidences that require expertise, 2) expertise that requires collaborations of multiple domain experts, and 3) experts who can model in both environments, during their clinical work (regularly interrupted and in changing environments) as well as after work at home.
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© 2020 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH , part of Springer Nature
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Cypko, M.A. (2020). Appraisal and Future Work. In: Development of Clinical Decision Support Systems using Bayesian Networks. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-32594-7_11
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DOI: https://doi.org/10.1007/978-3-658-32594-7_11
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