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Comparative analysis of machine learning versus traditional modeling approaches for predicting in-hospital mortality after cardiac surgery: assessment from temporal and spatial external validation based on a nationwide cardiac surgery registry.

Juntong ZengDanwei ZhangShen LinXiaoting SuPeng WangYan ZhaoZhe Zheng
Published in: European heart journal. Quality of care & clinical outcomes (2023)
ML provided only marginal improvements over traditional modeling approaches in predicting cardiac surgery mortality with routine preoperative variables, which calls for more judicious use of ML in practice.
Keyphrases
  • cardiac surgery
  • acute kidney injury
  • machine learning
  • primary care
  • healthcare
  • cardiovascular events
  • patients undergoing
  • artificial intelligence
  • risk factors
  • big data
  • deep learning
  • clinical evaluation