Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data

Benutzer: Gast

Titel:: Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: 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
Stichworte:: Knee ; Artificial intelligence ; Machine learning ; Knee surgery ; Total knee arthroplasty ; Knee arthroscopy ; Supervised learning ; Mathematical Sciences ; Medical and Health Sciences
Zeitschriftentitel:: Knee Surgery, Sports Traumatology, Arthroscopy
Jahr:: 2022
Band / Volume:: 31
Heft / Issue:: 4
Seitenangaben Beitrag:: 1323-1333
Volltext / DOI:: doi:10.1007/s00167-022-06957-w
Verlag / Institution:: Springer Berlin Heidelberg
E-ISSN:: 0942-2056 ; 1433-7347
Publikationsdatum:: 08.04.2022
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