Machine Learning Algorithm to Predict Worsening of Flexion Range of Motion After Total Knee Arthroplasty

BACKGROUND: Predicting the worsening of flexion range of motion (ROM) during the course post-total knee arthroplasty (TKA) is clinically meaningful. This study aimed to create a model that could predict the worsening of knee flexion ROM during the TKA course using a machine learning algorithm and to...

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Detalles Bibliográficos
Autores principales: Saiki, Yoshitomo, Kabata, Tamon, Ojima, Tomohiro, Okada, Shogo, Hayashi, Seigaku, Tsuchiya, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420425/
https://www.ncbi.nlm.nih.gov/pubmed/36042941
http://dx.doi.org/10.1016/j.artd.2022.07.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420425/
https://www.ncbi.nlm.nih.gov/pubmed/36042941
http://dx.doi.org/10.1016/j.artd.2022.07.011

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