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Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables.

Abdul K ZalikhaTannor CourtFong H NhamMouhanad M El-OthmaniRoshan P Shah
Published in: Arthroplasty (London, England) (2023)
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Keyphrases
  • machine learning
  • cardiovascular events
  • palliative care
  • mental health
  • artificial intelligence
  • risk factors
  • big data
  • acute care
  • deep learning
  • coronary artery disease