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Machine learning for prediction of delirium in patients with extensive burns after surgery.

Yujie RenYu ZhangJianhua ZhanJunfeng SunJinhua LuoWenqiang LiaoXing Cheng
Published in: CNS neuroscience & therapeutics (2023)
The first machine learning-based delirium prediction model for patients with extensive burns was successfully developed and validated. High-risk patients for delirium can be effectively identified and targeted interventions can be made to reduce the incidence of delirium.
Keyphrases
  • machine learning
  • cardiac surgery
  • hip fracture
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • artificial intelligence
  • acute kidney injury
  • big data
  • prognostic factors
  • deep learning
  • peritoneal dialysis