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Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality.

Jaehyeong ChoJimyung ParkEugene JeongJihye ShinSangjeong AhnMin Geun ParkRae Woong ParkYongkeun Park
Published in: Journal of personalized medicine (2021)
Machine learning models trained on routine immediate postoperative laboratory values outperformed previously published approaches in predicting 30-day postoperative mortality, indicating that they may be beneficial in identifying patients at increased risk of postoperative death.
Keyphrases
  • patients undergoing
  • machine learning
  • cardiovascular events
  • artificial intelligence
  • big data
  • risk factors
  • type diabetes
  • systematic review
  • resistance training