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Highly accurate acoustical prediction using support vector machine algorithm for post-operative subsidence after cementless total hip arthroplasty.

Yasuhiro HommaXu ZhuangHiroshi OhtsuSeiya IshiiYuichi ShiroganeKoju HayashiTaiji WatariTomonori BabaMuneaki Ishijima
Published in: International orthopaedics (2022)
In this study, we developed a high-accuracy machine learning algorithm for post-operative subsidence using acoustic parameters and additional pre-operative features. Our results represent a step toward the realisation of acoustic monitoring to avoid the complication in cementless THA.
Keyphrases
  • total hip arthroplasty
  • machine learning
  • deep learning
  • total knee arthroplasty
  • artificial intelligence
  • total hip
  • big data
  • neural network