Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty? : A proof-of-concept study
Fontalis, Andreas and Zhao, Baixiang and Mancino, Fabio and Putzeys, Pierre and Vanspauwen, Thomas and Glod, Fabrice and Plastow, Ricci and Mazomenos, Evangelos and Haddad, Fares (2024) Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty? : A proof-of-concept study. Bone & Joint Open. (In Press)
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Filename: Fontalis-etal-BJO-2024-Is-it-feasible-to-develop-a-supervised-learning-algorithm-incorporating-spinopelvic-mobility-to-predict-impingement.pdf
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Abstract
[Abstract not available]
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Item type: Article ID code: 89950 Dates: DateEvent22 May 2024Published22 May 2024AcceptedSubjects:
Technology > Engineering (General). Civil engineering (General) > Engineering design
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 18 Jul 2024 09:07 Last modified: 26 Jul 2024 10:37 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/89950
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