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Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms.

Christoph DibiasiAsan AgibetovLorenz KapralSebastian ZeinerOliver Kimberger
Published in: Journal of clinical medicine (2023)
ML is suitable for predicting intraoperative hypothermia and could be applied in clinical practice.
Keyphrases
  • machine learning
  • cardiac surgery
  • cardiac arrest
  • clinical practice
  • brain injury
  • acute kidney injury
  • artificial intelligence
  • patients undergoing
  • deep learning
  • big data