FREE: Postoperative Delirium Prediction Using Machine Learning Models and Preoperative Electronic Health Record Data.

Postoperative Delirium Prediction Using Machine Learning Models and Preoperative Electronic Health Record Data.

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Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. We sought to develop and internally validate a ML-derived POD risk prediction model using preoperative risk features, and to compare its performance to models developed with traditional logistic regression.