A novel machine learning approach for prediction of postoperative delirium using multi-domain features of high-density EEG

HD-EEG data can be used to establish high-quality ML models for POD predictions. Multidomain features enable more comprehensive integration of EEG information related to delirium. The feature space structure significantly affects the performance of the prediction model, with the linear model offering distinct advantages in predicting POD.

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Publication Details

Journal
Biomedical Physics & Engineering Express
Published
2026-04-15
DOI
https://doi.org/10.1088/2057-1976/ae5f98
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel machine learning approach for prediction of postoperative delirium using multi-domain features of high-density EEG

Zhenhu Liang, Juan Wang, Mengmeng Tang, Fan Wu et al.
Biomedical Physics & Engineering Express
Intensive Care Unit Cognitive Disorders
article

A novel machine learning approach for prediction of postoperative delirium using multi-domain features of high-density EEG

Zhenhu Liang, Juan Wang, Mengmeng Tang, Fan Wu, Yuanyuan Zou, Jianhui Liu, Xinxin Cui, Bowen Yu
article en

Abstract

HD-EEG data can be used to establish high-quality ML models for POD predictions. Multidomain features enable more comprehensive integration of EEG information related to delirium. The feature space structure significantly affects the performance of the prediction model, with the linear model offering distinct advantages in predicting POD.

Biomedical Physics & Engineering ExpressVol. 12(3)
Tongji University (CN), Shanghai Medical College of Fudan University (CN), Yanshan University (CN), Fudan University Shanghai Cancer Center (CN), Tongji Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Reduced inequalities
Openalex Percentile: Top 16%
Intensive Care Unit Cognitive Disorders
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A novel machine learning approach for prediction of postoperative delirium using multi-domain features of high-density EEG — Zhenhu Liang, Juan Wang, et al. · Biomedical Physics & Engineering Express (2026) | TGRS Research Map | TGRS