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Akademický článek

Comparable performance of machine learning algorithms in predicting readmission and complications following total joint arthroplasty with external validation

Autor: Hashim J. F. Shaikh, Mina Botros, Gabriel Ramirez, Caroline P. Thirukumaran, Benjamin Ricciardi, Thomas G. Myers

Publikováno v: Arthroplasty, Vol 5, Iss 1, Pp 1-12 (2023)

Abstract Background The purpose of the study was to use Machine Learning (ML) to construct a risk calculator for patients who undergo Total Joint Arthroplasty (TJA) on the basis of New York State Statewide Planning and Research Cooperative System (SP

Externí odkaz: https://doaj.org/article/cf396a9f68e7438f95038f87e05c20cb

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Akademický článek

Hip resurfacing arthroplasty as an alternative to total hip arthroplasty in patients aged under 40 years: a retrospective analysis of 267 hips

Autor: Prem N. Ramkumar, Hashim J. F. Shaikh, Josh J. Woo, Heather S. Haeberle, Michael Pang, Peter J. Brooks

Publikováno v: Bone & Joint Open, Vol 4, Iss 6, Pp 408-415 (2023)

Aims: The aims of the study were to report for a cohort aged younger than 40 years: 1) indications for HRA; 2) patient-reported outcomes in terms of the modified Harris Hip Score (HHS); 3) dislocation rate; and 4) revision rate. Methods: This retrosp

Externí odkaz: https://doaj.org/article/c95d262ba27741abb687b2cf2ac14bf5

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