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

Background: Machine Learning (ML) in arthroplasty is becoming more popular, as it is perfectly suited for prediction models. However, results have been heterogeneous so far. We hypothesize that an accurate ML model for outcome prediction in THA must be able to compute arthroplasty-specific data. In...

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Detalles Bibliográficos
Autores principales: Lazic, Igor, Hinterwimmer, Florian, Langer, Severin, Pohlig, Florian, Suren, Christian, Seidl, Fritz, Rückert, Daniel, Burgkart, Rainer, von Eisenhart-Rothe, Rüdiger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032696/
https://www.ncbi.nlm.nih.gov/pubmed/35456239
http://dx.doi.org/10.3390/jcm11082147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032696/
https://www.ncbi.nlm.nih.gov/pubmed/35456239
http://dx.doi.org/10.3390/jcm11082147

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