A Bayesian network-based predictive model for postoperative delirium following coronary artery bypass grafting

This study successfully constructed a BN predictive model for postoperative delirium following CABG, demonstrating robust predictive performance and high interpretability.

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Publication Details

Journal
BMC Psychiatry
Published
2025-08-26
DOI
https://doi.org/10.1186/s12888-025-07299-w
Citations
1
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
1.55

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article

A Bayesian network-based predictive model for postoperative delirium following coronary artery bypass grafting

Jin Zhang, Wenyan Xiao, Qi Li, Yu Liu et al.
1 citations
BMC Psychiatry
Intensive Care Unit Cognitive Disorders
1.55
article

A Bayesian network-based predictive model for postoperative delirium following coronary artery bypass grafting

Jin Zhang, Wenyan Xiao, Qi Li, Yu Liu, Yang Zhang, Lei Xu, Min Yang
article en
1 citations

Abstract

This study successfully constructed a BN predictive model for postoperative delirium following CABG, demonstrating robust predictive performance and high interpretability.

BMC PsychiatryVol. 25(1)
Anhui University (CN), Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Intensive Care Unit Cognitive Disorders
1.55
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