Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration.
- DOI
- 10.1186/s12883-025-04389-w
- Published
- 2025 Sep 2
- Container
- BMC neurology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12883-025-04389-w,
title = {Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration.},
author = {Zhu Y and Zhou N and Liang R and Yang JJ and Zhou CM},
year = {2025},
journal = {BMC neurology},
doi = {10.1186/s12883-025-04389-w},
url = {https://doi.org/10.1186/s12883-025-04389-w}
}RIS
TY - JOUR TI - Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration. AU - Zhu Y AU - Zhou N AU - Liang R AU - Yang JJ AU - Zhou CM PY - 2025 JO - BMC neurology DO - 10.1186/s12883-025-04389-w UR - https://doi.org/10.1186/s12883-025-04389-w ER -
APA
Y, Z., N, Z., R, L., JJ, Y., & CM, Z. (2025). Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration.. BMC neurology. https://doi.org/10.1186/s12883-025-04389-w
Source records
- pubmed · retrieved 2026-09-25T22:28:55.874Z