A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions.

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A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions.

Stud Health Technol Inform. 2017;245:1355

Authors: Cypko MA, Stoehr M, Oeltze-Jafra S, Dietz A, Lemke HU

Abstract
In complex cancer cases, Bayesian networks can support clinical experts in finding the best patient-specific therapeutic decisions. However, the development of decision networks requires teamwork of at least one domain expert and one knowledge engineer making the process expensive, time-consuming, and prone to misunderstandings. We present a novel method for guided modeling. This method enables domain experts to model collaboratively without the need of knowledge engineers, increasing both the development speed and model quality.

PMID: 29295434 [PubMed - in process]

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