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Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty
10
Zitationen
13
Autoren
2024
Jahr
Abstract
Neither machine learning modeling nor traditional regression methods were sufficiently accurate in order to offer prognostic information when predicting revision arthroplasty. The benefit of these modeling approaches may be limited in this context.
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Autoren
Institutionen
- Amsterdam University Medical Centers(NL)
- University of Amsterdam(NL)
- Delft University of Technology(NL)
- Utrecht University(NL)
- Leiden University Medical Center(NL)
- University Medical Center Utrecht(NL)
- Medisch Centrum Leeuwarden(NL)
- Netherlands Heart Registration(NL)
- The University of Texas at Austin(US)
- University Medical Center Groningen(NL)
- University of Groningen(NL)