Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty-Reference-Cited by-同舟云学术

Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty

Published:2021-06 Issue:6 Volume:30 Page:e290-e299
ISSN:1058-2746
Container-title:Journal of Shoulder and Elbow Surgery
language:en
Short-container-title:Journal of Shoulder and Elbow Surgery

Author:

Polce Evan M.^ORCID,Kunze Kyle N.^ORCID,Fu Michael C.^ORCID,Garrigues Grant E.,Forsythe Brian,Nicholson Gregory P.^ORCID,Cole Brian J.^ORCID,Verma Nikhil N.^ORCID

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine,General Medicine,Surgery

Reference41 articles.

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3. Impact of socioeconomic factors on outcome of total knee arthroplasty;Barrack;Clin Orthop Relat Res,2014

4. Predicting outstanding results after anatomic total shoulder arthroplasty using percentage of maximal outcome improvement;Berglund;J Shoulder Elbow Surg,2019

5. A novel machine learning model developed to assist in patient selection for outpatient total shoulder arthroplasty;Biron;J Am Acad Orthop Surg,2020

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