Development and validation of a machine learning-based prediction model for postoperative delirium after glioma surgery.

Li J, Xiao N

DOI: 10.1080/00207454.2026.2736052
Published: 2026 Sep 24
Container: The International journal of neuroscience
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/00207454.2026.2736052,
  title = {Development and validation of a machine learning-based prediction model for postoperative delirium after glioma surgery.},
  author = {Li J and Xiao N},
  year = {2026},
  journal = {The International journal of neuroscience},
  doi = {10.1080/00207454.2026.2736052},
  url = {https://doi.org/10.1080/00207454.2026.2736052}
}

RIS

TY  - JOUR
TI  - Development and validation of a machine learning-based prediction model for postoperative delirium after glioma surgery.
AU  - Li J
AU  - Xiao N
PY  - 2026
JO  - The International journal of neuroscience
DO  - 10.1080/00207454.2026.2736052
UR  - https://doi.org/10.1080/00207454.2026.2736052
ER  -

APA

J, L., & N, X. (2026). Development and validation of a machine learning-based prediction model for postoperative delirium after glioma surgery.. The International journal of neuroscience. https://doi.org/10.1080/00207454.2026.2736052

Source records

pubmed · retrieved 2026-09-25T23:05:50.211Z