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Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture.

Hirokazu ShimizuKen EndaTomohiro ShimizuYusuke IshidaHotaka IshizuKoki IseShinya TanakaNorimasa Iwasaki
Published in: Journal of clinical medicine (2022)
The decision-tree-based algorithm showed the precise prediction of clinical refracture, in which RA and CKD were detected as the potential predictors. Understanding these predictors may improve the management of patients with fragility fractures.
Keyphrases
  • machine learning
  • deep learning
  • chronic kidney disease
  • decision making
  • risk assessment
  • systemic lupus erythematosus
  • disease activity
  • idiopathic pulmonary fibrosis