Abstract
To support tumor board decisions, a BN model should consist of all decision-relevant information (3.3-R1.3.3 and 3.3-R1.4.1/2/3/4). Otherwise, clinicians may loose confidence in the network’s inferences. Also, a BN model should be easily comprehensible to keep the decision workflow efficient (3.3-R1.3.1/3 and 3.3-R1.4.6/7).
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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). TreLynCa: A Tumor Board Decision Model for Laryngeal Cancer. In: Development of Clinical Decision Support Systems using Bayesian Networks. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-32594-7_6
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DOI: https://doi.org/10.1007/978-3-658-32594-7_6
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