Clinical evidence framework for Bayesian networks

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

KNOWLEDGE AND INFORMATION SYSTEMS, cilt.50, sa.1, ss.117-143, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 1
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s10115-016-0932-1
  • Dergi Adı: KNOWLEDGE AND INFORMATION SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.117-143
  • Anahtar Kelimeler: Bayesian networks, Evidence-based medicine, Prognostic models, Clinical decision support, Knowledge engineering, DECISION-SUPPORT-SYSTEMS, MODELS, ONTOLOGIES
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

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.