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Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data
PURPOSE: The number of primary total knee arthroplasties (TKA) is expected to rise constantly. For patients and healthcare providers, the early identification of risk factors therefore becomes increasingly fundamental in the context of precision medicine. Others have already investigated the detecti...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050062/ https://www.ncbi.nlm.nih.gov/pubmed/35394135 http://dx.doi.org/10.1007/s00167-022-06957-w |