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Clinical prediction rule for bacterial arthritis: Chi-squared automatic interaction detector decision tree analysis model.

Seiko KushiroSayato FukuiAkihiro InuiDaiki KobayashiMizue SaitaToshio Naito
Published in: SAGE open medicine (2023)
Our results emphasize that patients categorized as high risk of bacterial arthritis, and appropriate treatment could be initiated as soon as possible.
Keyphrases
  • rheumatoid arthritis
  • newly diagnosed
  • ejection fraction
  • machine learning
  • prognostic factors
  • deep learning
  • magnetic resonance
  • computed tomography
  • magnetic resonance imaging
  • decision making
  • patient reported