Establishment of a postoperative delirium risk prediction model for elderly hip fracture patients based on machine learning algorithms

The postoperative delirium risk prediction model for elderly hip fracture patients, developed using machine learning, demonstrates good performance and can provide precise, individualized predictions.

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Publication Details

Journal
BMC Geriatrics
Published
2025-12-23
DOI
https://doi.org/10.1186/s12877-025-06648-4
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Establishment of a postoperative delirium risk prediction model for elderly hip fracture patients based on machine learning algorithms

Y T Huang, Yuye Zhang, Fanguo Lin, Yuetong Wang et al.
BMC Geriatrics
Intensive Care Unit Cognitive Disorders
article

Establishment of a postoperative delirium risk prediction model for elderly hip fracture patients based on machine learning algorithms

Y T Huang, Yuye Zhang, Fanguo Lin, Yuetong Wang, Yayun Xing
article en

Abstract

The postoperative delirium risk prediction model for elderly hip fracture patients, developed using machine learning, demonstrates good performance and can provide precise, individualized predictions.

BMC GeriatricsVol. 25(1)
Soochow University (CN), Second Affiliated Hospital of Soochow University (CN)
Strong
Openalex Percentile: Top 33%
Intensive Care Unit Cognitive Disorders
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