Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Logistic Regression and Machine Learning Models...
Journal article

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

Abstract

BACKGROUND: Approximately 20% of total knee arthroplasty (TKA) patients are found to be dissatisfied or unsure of their satisfaction at 1-year post-surgery. This study attempted to predict 1-year post-surgery dissatisfied/unsure TKA patients with pre-surgery and surgical variables using logistic regression and machine learning methods. METHODS: A retrospective analysis of patients who underwent primary TKA for osteoarthritis between 2012 and …

Authors

Munn JS; Lanting BA; MacDonald SJ; Somerville LE; Marsh JD; Bryant DM; Chesworth BM

Journal

The Journal of Arthroplasty, Vol. 37, No. 2, pp. 267–273

Publisher

Elsevier

Publication Date

2 2022

DOI

10.1016/j.arth.2021.10.017

ISSN

0883-5403