Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Lazic, Igor ; Hinterwimmer, Florian ; Langer, Severin ; Pohlig, Florian ; Suren, Christian ; Seidl, Fritz ; Rückert, Daniel ; Burgkart, Rainer ; von Eisenhart-Rothe, Rüdiger
Stichworte:
Article ; artificial intelligence ; machine learning ; hip surgery ; total hip arthroplasty ; supervised learning
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