A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty

BACKGROUND: There remains a lack of accurate and validated outcome-prediction models in total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool, determining the proper algorithm to apply across diverse data sets is challenging. AutoPrognosis (AP) is a novel method th...

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Detalles Bibliográficos
Autores principales: Devana, Sai K., Shah, Akash A., Lee, Changhee, Roney, Andrew R., van der Schaar, Mihaela, SooHoo, Nelson F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349766/
https://www.ncbi.nlm.nih.gov/pubmed/34401416
http://dx.doi.org/10.1016/j.artd.2021.06.020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349766/
https://www.ncbi.nlm.nih.gov/pubmed/34401416
http://dx.doi.org/10.1016/j.artd.2021.06.020

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