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Predicting total knee arthroplasty from ultrasonography using machine learning
OBJECTIVE: To investigate the value of ultrasonographic data in predicting total knee replacement (TKR). DESIGN: Data from the Musculoskeletal Pain in Ullensaker study (MUST) was linked to the Norwegian Arthroplasty Register to form a 5–7 year prospective cohort study of 630 persons (69% women, mean...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718281/ https://www.ncbi.nlm.nih.gov/pubmed/36474802 http://dx.doi.org/10.1016/j.ocarto.2022.100319 |