Clinical evidence framework for Bayesian networks

Date

2017-01-01

Author

Yet, Barbaros
Tai, Nigel R. M.
Marsh, D. William R.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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There is poor uptake of prognostic decision support models by clinicians regardless of their accuracy. There is evidence that this results from doubts about the basis of the model as the evidence behind clinical models is often not clear to anyone other than their developers. In this paper, we propose a framework for representing the evidence-base of a Bayesian network (BN) decision support model. The aim of this evidence framework is to be able to present all the clinical evidence alongside the BN itself. The evidence framework is capable of presenting supporting and conflicting evidence, and evidence associated with relevant but excluded factors. It also allows the completeness of the evidence to be queried. We illustrate this framework using a BN that has been previously developed to predict acute traumatic coagulopathy, a potentially fatal disorder of blood clotting, at early stages of trauma care.

Subject Keywords

Bayesian networks, Knowledge engineering, Clinical decision support, Prognostic models, Evidence-based medicine

URI

https://hdl.handle.net/11511/56946

Journal

KNOWLEDGE AND INFORMATION SYSTEMS

DOI

https://doi.org/10.1007/s10115-016-0932-1

Collections

Graduate School of Informatics, Article

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Citation Formats

B. Yet, N. R. M. Tai, and D. W. R. Marsh, “Clinical evidence framework for Bayesian networks,” KNOWLEDGE AND INFORMATION SYSTEMS, pp. 117–143, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56946.