Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty

Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty

Background: Patient selection for outpatient total joint arthroplasty (TJA) is important for optimizing patient outcomes. This study develops machine learning models that may aid in patient selection for outpatient TJA based on medical comorbidities and demographic factors. Methods: This study queri...

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Bibliographic Details
Main Authors: Cesar D. Lopez, MD, Jessica Ding, BA, David P. Trofa, MD, H. John Cooper, MD, Jeffrey A. Geller, MD, Thomas R. Hickernell, MD
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:Arthroplasty Today
Subjects:
ACS-NSQIP
Machine learning
Artificial intelligence
Total knee arthroplasty
Total hip arthroplasty
Length of stay
Online Access:http://www.sciencedirect.com/science/article/pii/S2352344121002156

Internet

http://www.sciencedirect.com/science/article/pii/S2352344121002156

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