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Prediction Model for 30-Day Mortality after Non-Cardiac Surgery Using Machine-Learning Techniques Based on Preoperative Evaluation of Electronic Medical Records.

Byung Jin ChoiAh Ran OhSeung-Hwa LeeDong Yun LeeJong-Hwan LeeKwangmo YangHa Yeon KimRae Woong ParkJungchan Park
Published in: Journal of clinical medicine (2022)
We presented a machine-learning prediction model for 30-day mortality after non-cardiac surgery using preoperative variables automatically extracted from electronic medical records and validated the model in a multi-center setting. Our model may help clinicians predict postoperative outcomes.
Keyphrases
  • cardiac surgery
  • patients undergoing
  • machine learning
  • acute kidney injury
  • palliative care
  • deep learning
  • adipose tissue
  • glycemic control