Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant-Reference-Cited by-同舟云学术

Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant

Published:2017-09-05 Issue:9 Volume:12 Page:e0183755
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Cilla Myriam^ORCID,Borgiani Edoardo,Martínez Javier,Duda Georg N.,Checa Sara

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference54 articles.

1. OECD (2011) Health at a glance 2011. Report, OECD Publishing.

2. Holzwarth UaC, Giulio (2012) JRC Scientifics and Policy Reports: Total Hip Arthroplasty. State of the Art, Challenges and Prospects. European Commission.

3. Muscle activity is essential for a realistic pre-clinical evaluation of primary stability in THA;J Kassi,2002

4. Das Gesetz der Transformation der Knochen: A;J Wolff,1892

5. Primary and long-term stability of a short-stem hip implant;D Dabirrahmani;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine,2010

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