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

• Published in: CNS neuroscience & therapeutics Vol. 29; no. 1; pp. 158 - 167
• Main Authors: Song, Yu‐xiang, Yang, Xiao‐dong, Luo, Yun‐gen, Ouyang, Chun‐lei, Yu, Yao, Ma, Yu‐long, Li, Hao, Lou, Jing‐sheng, Liu, Yan‐hong, Chen, Yi‐qiang, Cao, Jiang‐bei, Mi, Wei‐dong
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.01.2023; John Wiley and Sons Inc
• Subjects: Aged; Anesthesia; Artificial intelligence; Blood; Creatinine; Datasets; Delirium; Disease prevention; Drugs; Emergence Delirium; Generalized linear models; Humans; Learning algorithms; Logistic Models; Machine Learning; Medical records; nomograms; Original; Patients; Psychotropic drugs; Regression analysis; Retrospective Studies; risk assessment; ROC Curve; Surgery; aged; risk assessment; machine learning; nomograms; delirium

Aims To compare the performance of logistic regression and machine learning methods in predicting postoperative delirium (POD) in elderly patients. Method This was a retrospective study of perioperative medical data from patients undergoing non‐cardiac and non‐neurology surgery over 65 years old fro...