Development and internal validation of an interpretable machine learning prognostic prediction model for postoperative delirium after esophagectomy.

Meng X, Wu W

DOI: 10.21037/jtd-2026-0923
Published: 2026 Aug 31
Container: Journal of thoracic disease
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21037/jtd-2026-0923,
  title = {Development and internal validation of an interpretable machine learning prognostic prediction model for postoperative delirium after esophagectomy.},
  author = {Meng X and Wu W},
  year = {2026},
  journal = {Journal of thoracic disease},
  doi = {10.21037/jtd-2026-0923},
  url = {https://doi.org/10.21037/jtd-2026-0923}
}

RIS

TY  - JOUR
TI  - Development and internal validation of an interpretable machine learning prognostic prediction model for postoperative delirium after esophagectomy.
AU  - Meng X
AU  - Wu W
PY  - 2026
JO  - Journal of thoracic disease
DO  - 10.21037/jtd-2026-0923
UR  - https://doi.org/10.21037/jtd-2026-0923
ER  -

APA

X, M., & W, W. (2026). Development and internal validation of an interpretable machine learning prognostic prediction model for postoperative delirium after esophagectomy.. Journal of thoracic disease. https://doi.org/10.21037/jtd-2026-0923

Source records

pubmed · retrieved 2026-09-26T01:23:58.427Z