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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Detalles Bibliográficos
Autores principales: Lopez, Cesar D., Ding, Jessica, Trofa, David P., Cooper, H. John, Geller, Jeffrey A., Hickernell, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666332/
https://www.ncbi.nlm.nih.gov/pubmed/34917716
http://dx.doi.org/10.1016/j.artd.2021.11.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666332/
https://www.ncbi.nlm.nih.gov/pubmed/34917716
http://dx.doi.org/10.1016/j.artd.2021.11.001

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