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

Lopez, C. D., Ding, J., Trofa, D. P., Cooper, H. J., Geller, J. A., & Hickernell, T. R. (2022). Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty. Arthroplasty Today, 13, 13–23. https://doi.org/10.1016/j.artd.2021.11.001
Authors:
Cesar D. Lopez
Jessica Ding
David P. Trofa
H. John Cooper
Jeffrey A. Geller
Thomas R. Hickernell
Affiliated Authors:
Cesar D. Lopez
Jessica Ding
David P. Trofa
H. John Cooper
Jeffrey A. Geller
Thomas R. Hickernell
Columbia Affiliation:
Author Keywords:
acs-nsqip
machine learning
arti ficial intelligence
total knee arthroplasty
total hip arthroplasty
length of stay
artificial intelligence
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Publication Type:
Article
Unique ID:
10.1016/j.artd.2021.11.001
DOI:
10.1016/j.artd.2021.11.001
Journal:
Arthroplasty Today
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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Record Created: