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. 2019 Jun;477(6):1262-1266.
doi: 10.1097/CORR.0000000000000787.

Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Seth S Leopold  1
Affiliations

Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Seth S Leopold. Clin Orthop Relat Res. 2019 Jun.
No abstract available

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Conflict of interest statement

The author certifies that neither he, nor any members of his immediate family, have any commercial associations (such as consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article.

All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request.

Figures

None
Catherine H. MacLean MD, PhD
None
Mark Alan Fontana PhD
See this image and copyright information in PMC

References

    1. Expert System. What is machine learning? A definition. Available at: https://www.expertsystem.com/machine-learning-definition/. Accessed February 6, 2019.
    1. Fontana MA, Lyman S, Sarker GK, Padgett DE, MacLean CH. Can machine learning algorithms predict which patients will achieve minimally clinically important differences from total joint arthroplasty? Clin Orthop Relat Res. [Published online ahead of print]. DOI: 10.1097/CORR.0000000000000687. - DOI - PMC - PubMed
    1. Ghomrawi HM, Mancuso CA, Dunning A, Gonzalez Della Valle A, Alexiades M, Cornell C, Sculco T, Bostrom M, Mayman D, Marx RG, Westrich G, O’Dell M, Mushlin AI. Do surgeon expectations predict clinically important improvements in WOMAC scores after THA and TKA? Clin Orthop Relat Res. 2017;475:2150-2158. - PMC - PubMed
    1. Gupta NM. Becoming a data scientist unicorn. Available at: https://medium.com/@NileshMGupta/becoming-a-data-science-unicorn-8797231.... Accessed March 21, 2019.
    1. Harris AH, Kuo AC, Weng Y, Trickey AW, Bowe T, Giori N. Can machine learning methods produce accurate and easy-to-use prediction models of 30-day complications and mortality after knee or hip arthroplasty? Clin Orthop Relat Res. 2019;477:452-460. - PMC - PubMed

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