Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures

Research article (Frontiers in Aging Neuroscience, 2022) · cited 26× · AI/ML
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Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures

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Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-model-predicting-postoperative-delirium-in-older-patients-using-intraoperative-frontal-electroencephalo
MLA “Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-model-predicting-postoperative-delirium-in-older-patients-using-intraoperative-frontal-electroencephalo.
BibTeX @misc{4ortxyz_machine-learning-model-predicting-postoperative-delirium-in-older-patients-using-intraoperative-frontal-electroencephalo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-model-predicting-postoperative-delirium-in-older-patients-using-intraoperative-frontal-electroencephalo}, note = {Accessed: 2026-05-24}}
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