Logistic Regression and Machine Learning Models Cannot Discriminate Between Satisfied and Dissatisfied Total Knee Arthroplasty Patients.

Munn, Joseph S; Lanting, Brent A; MacDonald, Steven J; Somerville, Lyndsay E; Marsh, Jacquelyn D; Bryant, Dianne M; Chesworth, Bert M

Munn, Joseph S; Lanting, Brent A; MacDonald, Steven J; Somerville, Lyndsay E; Marsh, Jacquelyn D; Bryant, Dianne M; Chesworth, Bert M.

Afiliação

Munn JS; Health and Rehabilitation Sciences, Graduate Program, Faculty of Health Sciences, Western University, London, ON, Canada.
Lanting BA; Department of Surgery, Division of Orthopaedic Surgery, University Hospital, London Health Sciences Centre, London, ON, Canada.
MacDonald SJ; Department of Surgery, Division of Orthopaedic Surgery, University Hospital, London Health Sciences Centre, London, ON, Canada.
Somerville LE; Department of Surgery, Division of Orthopaedic Surgery, University Hospital, London Health Sciences Centre, London, ON, Canada.
Marsh JD; School of Physical Therapy, Faculty of Health Sciences, Western University, London, ON, Canada.
Bryant DM; School of Physical Therapy, Faculty of Health Sciences, Western University, London, ON, Canada.
Chesworth BM; School of Physical Therapy, Faculty of Health Sciences, Western University, London, ON, Canada.

J Arthroplasty ; 37(2): 267-273, 2022 02.

Article em En | MEDLINE | ID: mdl-34737020

Assuntos

Artroplastia do Joelho; Osteoartrite do Joelho; Humanos; Modelos Logísticos; Aprendizado de Máquina; Osteoartrite do Joelho/cirurgia; Satisfação do Paciente; Satisfação Pessoal; Estudos Retrospectivos

Palavras-chave

clinical prediction; machine learning; patient reported outcomes; patient satisfaction; total knee arthroplasty

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia do Joelho / Osteoartrite do Joelho Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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