Comparable performance of machine learning algorithms in predicting readmission and complications following total joint arthroplasty with external validation.

Shaikh, Hashim J F; Botros, Mina; Ramirez, Gabriel; Thirukumaran, Caroline P; Ricciardi, Benjamin; Myers, Thomas G

Shaikh, Hashim J F; Botros, Mina; Ramirez, Gabriel; Thirukumaran, Caroline P; Ricciardi, Benjamin; Myers, Thomas G.

Afiliación

Shaikh HJF; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA. hashim_shaikh@urmc.rochester.edu.
Botros M; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Ramirez G; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Thirukumaran CP; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Ricciardi B; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Myers TG; Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.

Arthroplasty ; 5(1): 58, 2023 Nov 08.

Article en En | MEDLINE | ID: mdl-37941068

Palabras clave

Complications; Database; External validation; Machine learning; Total joint arthroplasty

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Arthroplasty Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos