Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms

Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms

Abstract Background With the aging demographic on the rise, we’re seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of crafting ten machine learning (ML) models ca...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuhui Hua, Chuan Li, Yuanlong Wang, YiZhi Liang, Shanling Xu, Jian Kong, Hongyan Gong, Rui Dong, Yanan Lin, Xu Lin, Yanlin Bi, Bin Wang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Anesthesiology
Subjects:
Machine learning
Postoperative delirium
Cerebrospinal fluid
Surgery
Online Access:https://doi.org/10.1186/s12871-025-03259-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items