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

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...

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Bibliographic Details
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
ISSN:	1755-5930, 1755-5949, 1755-5949
Online Access:	Get full text
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