Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.

Jacobien Hillina Froukje OosterhoffAnne A H de HondRinne M PetersLiza N van SteenbergenJuliette C SorelWierd P ZijlstraRudolf W PoolmanDavid RingPaul C JutteGino M M J KerkhoffsHein PutterEwout W SteyerbergJob N Doornbergnull null

Published in: Clinical orthopaedics and related research (2024)

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.

Keyphrases

machine learning
total knee arthroplasty
total hip arthroplasty
artificial intelligence
big data
high resolution
deep learning
health information
mass spectrometry
social media