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Comparison of logistic regression and machine learning methods for predicting postoperative delirium in elderly patients: A retrospective study.

Yu-Xiang SongXiao-Dong YangYun-Gen LuoChun-Lei OuyangYao YuYu-Long MaHao LiJing-Sheng LouYan-Hong LiuYi-Qiang ChenJiang-Bei CaoWei-Dong Mi
Published in: CNS neuroscience & therapeutics (2022)
The optimal application of the logistic regression model could provide quick and convenient POD risk identification to help improve the perioperative management of surgical patients because of its better sensitivity, fewer variables, and easier interpretability than the machine learning model.
Keyphrases
  • machine learning
  • patients undergoing
  • cardiac surgery
  • artificial intelligence
  • deep learning
  • hip fracture