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Applied Bionics and Biomechanics
Volume 2017, Article ID 2014961, 7 pages
https://doi.org/10.1155/2017/2014961
Research Article

Using a Bayesian Network to Predict L5/S1 Spinal Compression Force from Posture, Hand Load, Anthropometry, and Disc Injury Status

Departments of Orthopaedic Surgery, Biomedical Engineering, and Industrial & Operations Engineering, University of Michigan, Ann Arbor, MI 48109, USA

Correspondence should be addressed to Richard E. Hughes; ude.hcimu@sehguher

Received 3 July 2017; Accepted 14 September 2017; Published 1 October 2017

Academic Editor: Craig P. McGowan

Copyright © 2017 Richard E. Hughes. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Richard E. Hughes, “Using a Bayesian Network to Predict L5/S1 Spinal Compression Force from Posture, Hand Load, Anthropometry, and Disc Injury Status,” Applied Bionics and Biomechanics, vol. 2017, Article ID 2014961, 7 pages, 2017. https://doi.org/10.1155/2017/2014961.