Reply to the Letter to the Editor: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Fontana, Mark Alan; Lyman, Stephen; Padgett, Douglas E; MacLean, Catherine H

Fontana, Mark Alan; Lyman, Stephen; Padgett, Douglas E; MacLean, Catherine H.

Afiliación

Fontana MA; M. A Fontana, Senior Director, Data Science, Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, New York, NY, USA and Assistant Professor, Weill Cornell Medical College, Department of Healthcare Policy & Research, New York, NY, USA.
Lyman S; S. Lyman, Associate Scientist, Hospital for Special Surgery, New York, NY, USA.
Padgett DE; D. E. Padgett, Associate Surgeon-in-Chief, Deputy Medical Director, Hospital for Special Surgery, New York, NY, USA.
MacLean CH; C. H. MacLean, Chief Value Medical Officer & Senior VP, Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, New York, NY, USA.

Clin Orthop Relat Res ; 478(6): 1376-1377, 2020 06.

Article en En | MEDLINE | ID: mdl-32187104

Asunto(s)

Artroplastia de Reemplazo de Rodilla; Algoritmos; Artroplastia de Reemplazo de Rodilla/efectos adversos; Humanos; Aprendizaje Automático

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Artroplastia de Reemplazo de Rodilla Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Orthop Relat Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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