Clinical evidence framework for Bayesian networks


YET B. , Perkins Z. B. , Tai N. R. M. , Marsh D. W. R.

KNOWLEDGE AND INFORMATION SYSTEMS, vol.50, no.1, pp.117-143, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 50 Issue: 1
  • Publication Date: 2017
  • Doi Number: 10.1007/s10115-016-0932-1
  • Title of Journal : KNOWLEDGE AND INFORMATION SYSTEMS
  • Page Numbers: pp.117-143
  • Keywords: Bayesian networks, Evidence-based medicine, Prognostic models, Clinical decision support, Knowledge engineering, DECISION-SUPPORT-SYSTEMS, MODELS, ONTOLOGIES

Abstract

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.