Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS)

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS)

Abstract Background Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Machine learning (ML) algorithms are increas...

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Bibliographic Details
Main Authors: Léonie Hofstetter, Nathalie Schweyckart, Christof Seiler, Christian Brand, Laura C. Rosella, Mazda Farshad, Milo A. Puhan, Cesar A. Hincapié
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Diagnostic and Prognostic Research
Subjects:
Hip arthroplasty
Knee arthroplasty
Prognostic modelling
Model development
Risk prediction
Machine learning
Online Access:https://doi.org/10.1186/s41512-025-00200-z
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