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Developing a Machine-Learning Predictive Model for Retention of Posterior Cruciate Ligament in Patients Undergoing Total Knee Arthroplasty.

Long ChenLiyi ZhangDiange ZhouShengjie DongDang Xing
Published in: Orthopaedic surgery (2024)
The LGBM Classifier model achieved the best performance in predicting PCL retention in TKA. Among the potential risk factors, ISI, MMH, LMH, and deformity played essential roles in the prediction of PCL retention.
Keyphrases
  • total knee arthroplasty
  • total hip
  • machine learning
  • risk factors
  • patients undergoing
  • risk assessment
  • big data
  • human health
  • anterior cruciate ligament