Machine Learning-Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative.

Journal: Arthritis care & research

Published Date: Aug 26, 2021

Abstract

OBJECTIVE: By using machine learning, our study aimed to build a model to predict risk and time to total knee replacement (TKR) of an osteoarthritic knee.

Authors

Afshin Jamshidi

Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, Quebec, Canada.
Jean-Pierre Pelletier

Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, Quebec, Canada.
Aurelie Labbe

HEC Montreal, Montreal, Quebec, Canada.
François Abram

Medical Imaging, ArthroLab Inc., Montreal, Quebec, Canada.
Johanne Martel-Pelletier

Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, Quebec, Canada. jm@martelpelletier.ca.
Arnaud Droit

Proteomics platform, CHU de Québec - Université Laval Research Center, Québec City, Québec, Canada; Computational Biology Laboratory, CHU de Québec - Université Laval Research Center, Québec City, Québec, Canada; Département de Médecine Moléculaire, Faculté de médecine, Université Laval, Québec City, QC, Canada. Electronic address: arnaud.droit@crchuq.ulaval.ca.

Keywords

Arthroplasty, Replacement, Knee Decision Support Techniques Disease Progression Humans Knee Prosthesis Machine Learning Osteoarthritis, Knee Predictive Value of Tests Risk Assessment Risk Factors Support Vector Machine Time Factors United States

External Resources

View on PubMed Access via DOI PubMed (33749148)

Machine Learning-Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative.

Abstract

Authors

Keywords

External Resources

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