Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data

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Document type:: Zeitschriftenaufsatz
Author(s):: Lazic, Igor ; Hinterwimmer, Florian ; Langer, Severin ; Pohlig, Florian ; Suren, Christian ; Seidl, Fritz ; Rückert, Daniel ; Burgkart, Rainer ; von Eisenhart-Rothe, Rüdiger
Title:: Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data
Keywords:: Article ; artificial intelligence ; machine learning ; hip surgery ; total hip arthroplasty ; supervised learning
Journal title:: Journal of Clinical Medicine
Year:: 2022
Journal volume:: 11
Journal issue:: 8
Fulltext / DOI:: doi:10.3390/jcm11082147
Publisher:: MDPI
E-ISSN:: 2077-0383
Date of publication:: 12.04.2022
CC license:: by, https://creativecommons.org/licenses/by/4.0

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