An Electronic Medical Record-Based Discharge Disposition Tool Gets Bundle Busted: Decaying Relevance of Clinical Data Accuracy in Machine Learning.

Greenstein, Alexander S; Teitel, Jack; Mitten, David J; Ricciardi, Benjamin F; Myers, Thomas G

Greenstein, Alexander S; Teitel, Jack; Mitten, David J; Ricciardi, Benjamin F; Myers, Thomas G.

Afiliación

Greenstein AS; Department of Orthopaedics & Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA.
Teitel J; University of Rochester Medical Center, University of Rochester Health Lab, Rochester, NY, USA.
Mitten DJ; University of Rochester Medical Center, University of Rochester Health Lab, Rochester, NY, USA.
Ricciardi BF; Division of Adult Reconstruction, Department of Orthopaedics & Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA.
Myers TG; Division of Adult Reconstruction, Department of Orthopaedics & Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA.

Arthroplast Today ; 6(4): 850-855, 2020 Dec.

Article en En | MEDLINE | ID: mdl-33088883

Palabras clave

Arthroplasty; Artificial intelligence; Discharge; Machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Arthroplast Today Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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