CORR Insights®: Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
作者信息
Giori Nicholas J
机构信息
Professor of Orthopaedic Surgery, Stanford University, and VA Palo Alto Healthcare System, Palo Alto, CA, USA.
出版信息
Clin Orthop Relat Res. 2024 Aug 1;482(8):1483-1484. doi: 10.1097/CORR.0000000000003046. Epub 2024 Mar 19.
Abstract
摘要
相似文献
1
CORR Insights®: Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Clin Orthop Relat Res. 2024 Aug 1;482(8):1483-1484. doi: 10.1097/CORR.0000000000003046. Epub 2024 Mar 19.
2
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Clin Orthop Relat Res. 2024 Aug 1;482(8):1472-1482. doi: 10.1097/CORR.0000000000003018. Epub 2024 Mar 12.
3
Kaplan-Meier Survival Analysis Overestimates the Risk of Revision Arthroplasty: A Meta-analysis.
Clin Orthop Relat Res. 2015 Nov;473(11):3431-42. doi: 10.1007/s11999-015-4235-8.
4
CORR Insights®: What Host Factors Affect Aseptic Loosening After THA and TKA?
Clin Orthop Relat Res. 2015 Aug;473(8):2710-1. doi: 10.1007/s11999-015-4251-8. Epub 2015 Mar 14.
5
CORR Insights®: Sonication of antibiotic spacers predicts failure during two-stage revision for prosthetic knee and hip infections.
Clin Orthop Relat Res. 2014 Jul;472(7):2215-6. doi: 10.1007/s11999-014-3645-3. Epub 2014 Apr 29.
6
Risk calculators predict failures of knee and hip arthroplasties: findings from a large health maintenance organization.
Clin Orthop Relat Res. 2015 Dec;473(12):3965-73. doi: 10.1007/s11999-015-4506-4. Epub 2015 Sep 1.
7
Detection of Prosthetic Loosening in Hip and Knee Arthroplasty Using Machine Learning: A Systematic Review and Meta-Analysis.
Medicina (Kaunas). 2023 Apr 17;59(4):782. doi: 10.3390/medicina59040782.
8
Revision arthroplasty with use of a total femur prosthesis.
J Bone Joint Surg Am. 2005 Dec;87(12):2693-2701. doi: 10.2106/JBJS.D.02770.
9
CORR Insights®: Short-term Risk of Revision THA in the Medicare Population Has Not Improved With Time.
Clin Orthop Relat Res. 2016 Jan;474(1):164-5. doi: 10.1007/s11999-015-4591-4.
10
Population-based 10-year cumulative revision risks after hip and knee arthroplasty for osteoarthritis to inform patients in clinical practice: a competing risk analysis from the Dutch Arthroplasty Register.
Acta Orthop. 2021 Jun;92(3):280-284. doi: 10.1080/17453674.2021.1876998. Epub 2021 Jan 22.
本文引用的文献
1
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Clin Orthop Relat Res. 2024 Aug 1;482(8):1472-1482. doi: 10.1097/CORR.0000000000003018. Epub 2024 Mar 12.
2
Limited clinical utility of a machine learning revision prediction model based on a national hip arthroscopy registry.
Knee Surg Sports Traumatol Arthrosc. 2023 Jun;31(6):2079-2089. doi: 10.1007/s00167-022-07054-8. Epub 2022 Aug 10.
3
A Tool to Estimate Risk of 30-day Mortality and Complications After Hip Fracture Surgery: Accurate Enough for Some but Not All Purposes? A Study From the ACS-NSQIP Database.
Clin Orthop Relat Res. 2022 Dec 1;480(12):2335-2346. doi: 10.1097/CORR.0000000000002294. Epub 2022 Jun 27.
4
Machine Learning for the Orthopaedic Surgeon: Uses and Limitations.
J Bone Joint Surg Am. 2022 Sep 7;104(17):1586-1594. doi: 10.2106/JBJS.21.01305. Epub 2022 Apr 5.
5
Estimating an Individual's Probability of Revision Surgery After Knee Replacement: A Comparison of Modeling Approaches Using a National Data Set.
Am J Epidemiol. 2018 Oct 1;187(10):2252-2262. doi: 10.1093/aje/kwy121.
Zotero 插件