Machine Learning Algorithms Identify Optimal Sagittal Component Position in Total Knee Arthroplasty

2021 ◽  
Author(s):  
Hassan Farooq ◽  
Evan R. Deckard ◽  
Nicholas Arnold ◽  
R. Michael Meneghini
Keyword(s):  
Machine Learning ◽  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Component Position ◽  
Total Knee

Construction and Comparison of Predictive Models for Length of Stay after Total Knee Arthroplasty: Regression Model and Machine Learning Analysis Based on 1,826 Cases in a Single Singapore Center

2020 ◽  
Author(s):  
Hui Li ◽  
Juyang Jiao ◽  
Shutao Zhang ◽  
Haozheng Tang ◽  
Xinhua Qu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Total Knee Arthroplasty ◽  
Logistic Regression ◽  
Length Of Stay ◽  
Knee Arthroplasty ◽  
Predictive Models ◽  
Prediction Models ◽  
Univariate Analysis ◽  
Machine Learning Algorithms ◽  
Total Knee

AbstractThe purpose of this study was to develop a predictive model for length of stay (LOS) after total knee arthroplasty (TKA). Between 2013 and 2014, 1,826 patients who underwent TKA from a single Singapore center were enrolled in the study after qualification. Demographics of patients with normal and prolonged LOS were analyzed. The risk variables that could affect LOS were identified by univariate analysis. Predictive models for LOS after TKA by logistic regression or machine learning were constructed and compared. The univariate analysis showed that age, American Society of Anesthesiologist level, diabetes, ischemic heart disease, congestive heart failure, general anesthesia, and operation duration were risk factors that could affect LOS (p < 0.05). Comparing with logistic regression models, the machine learning model with all variables was the best model to predict LOS after TKA, of whose area of operator characteristic curve was 0.738. Machine learning algorithms improved the predictive performance of LOS prediction models for TKA patients.

The Effect of Femoral Component Position on Patellar Tracking After Total Knee Arthroplasty

1990 ◽  
Vol 260 ◽  
pp. 43-51 ◽  
Author(s):  
Daniel D. Rhoads ◽  
Philip C. Noble ◽  
Jeffrey D. Reuben ◽  
Ormonde M. Mahoney ◽  
Hugh S. Tullos
Keyword(s):  
Total Knee Arthroplasty ◽  
Femoral Component ◽  
Knee Arthroplasty ◽  
Patellar Tracking ◽  
Component Position ◽  
Total Knee

Influence of intramedullary versus extramedullary alignment guides on final total knee arthroplasty component position

1998 ◽  
Vol 13 (5) ◽  
pp. 552-558 ◽  
Author(s):  
Antonio Maestro ◽  
Steven F. Harwin ◽  
Manuel G. Sandoval ◽  
Daniel H. Vaquero ◽  
Antonio Murcia
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Component Position ◽  
Total Knee
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