This paper is in the following e-collection/theme issue:

Proposals (eHealth) (80) Clinical Information and Decision Making (1407) Digital Pain Assessment and Management (164) Decision Support for Health Professionals (1185) Tools, Programs and Algorithms (266) Back Pain (116) Development and Evaluation of Research Methods, Instruments and Tools (481)

Published on in Vol 10, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21804, first published .
A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

Authors of this article:

Adele Hill1 Author Orcid Image ;   Christopher H Joyner2 Author Orcid Image ;   Chloe Keith-Jopp1, 3 Author Orcid Image ;   Barbaros Yet4 Author Orcid Image ;   Ceren Tuncer Sakar5 Author Orcid Image ;   William Marsh2 Author Orcid Image ;   Dylan Morrissey1, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Adele Hill   1 , MSc ;   Christopher H Joyner   2 , PhD ;   Chloe Keith-Jopp   1, 3 , MRES ;   Barbaros Yet   4 , PhD ;   Ceren Tuncer Sakar   5 , PhD ;   William Marsh   2 , PhD ;   Dylan Morrissey   1, 3 , PhD

1 Sport and Exercise Medicine, Queen Mary University of London, London, United Kingdom

2 Electronics, Engineering and Computer Science, Queen Mary University of London, London, United Kingdom

3 Barts Health NHS Trust, London, United Kingdom

4 Graduate School of Informatics, Middle East Technical University, Ankara, Turkey

5 Department of Industrial Engineering, Hacettepe University, Ankara, Turkey

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