Postoperative delirium prediction using machine learning models and preoperative electronic health record data

HIGHLIGHTS

• who: Andrew Bishara from the Department of Anesthesia and Perioperative Care, University, USA have published the article: Postoperative delirium prediction using machine learning models and preoperative electronic health record data, in the Journal: (JOURNAL)
• what: The authors compare the performance of two ML models (gradient boosting and artificial neural_network) against both traditional logistic regression and the POD risk stratification tool currently used at the institution , hypothesizing that use of ML to model POD risk would outperform other methods. As opposed to most previously reported POD risk prediction models that focus on one particular surgical population . . .
  

   

  

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