Reply to the Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review-Reference-Cited by-同舟云学术

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Reply to the Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review

Published:2024-02 Issue:2 Volume:39 Page:e2
ISSN:0883-5403
Container-title:The Journal of Arthroplasty
language:en
Short-container-title:The Journal of Arthroplasty

Author:

Karlin Elan A.^ORCID,Lin Charles C.^ORCID,Meftah Morteza,Slover James D.,Schwarzkopf Ran

Publisher

Elsevier BV

Reference4 articles.

1. Patient factors that matter in predicting hip arthroplasty outcomes: a machine-learning approach;Sniderman;J Arthroplasty,2021

2. Using neural networks to identify patients unlikely to achieve a reduction in bodily pain after total hip replacement surgery;Schwartz;Med Care,1997

3. The impact of machine learning on total joint arthroplasty patient outcomes: a systemic review;Karlin;J Arthroplasty,2023

4. Can machine learning methods produce accurate and easy-to-use preoperative prediction models of one-year improvements in pain and functioning after knee arthroplasty?;Harris;J Arthroplasty,2021

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