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...

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Detalles Bibliográficos
Autores principales: Hinterwimmer, Florian, Lazic, Igor, Langer, Severin, Suren, Christian, Charitou, Fiona, Hirschmann, Michael T., Matziolis, Georg, Seidl, Fritz, Pohlig, Florian, Rueckert, Daniel, Burgkart, Rainer, von Eisenhart-Rothe, Rüdiger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Knee
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

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