Explainable machine-learning prediction of prolonged postoperative hospitalization after esophagectomy using clinical and CT-derived body-composition features

Michael Mosebetsi Moleka, Fan Yang, Zilong Lu, Shuqi Jia, Wanli Jiang

Open source

DOI: 10.21037/jtd-2026-2022
Published: 2026-10
Container: Journal of Thoracic Disease
Publisher: AME Publishing Company
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21037/jtd-2026-2022,
  title = {Explainable machine-learning prediction of prolonged postoperative hospitalization after esophagectomy using clinical and CT-derived body-composition features},
  author = {Michael Mosebetsi Moleka and Fan Yang and Zilong Lu and Shuqi Jia and Wanli Jiang},
  year = {2026},
  journal = {Journal of Thoracic Disease},
  doi = {10.21037/jtd-2026-2022},
  url = {https://doi.org/10.21037/jtd-2026-2022}
}

RIS

TY  - JOUR
TI  - Explainable machine-learning prediction of prolonged postoperative hospitalization after esophagectomy using clinical and CT-derived body-composition features
AU  - Michael Mosebetsi Moleka
AU  - Fan Yang
AU  - Zilong Lu
AU  - Shuqi Jia
AU  - Wanli Jiang
PY  - 2026
JO  - Journal of Thoracic Disease
DO  - 10.21037/jtd-2026-2022
UR  - https://doi.org/10.21037/jtd-2026-2022
ER  -

APA

Moleka, M. M., Yang, F., Lu, Z., Jia, S., & Jiang, W. (2026). Explainable machine-learning prediction of prolonged postoperative hospitalization after esophagectomy using clinical and CT-derived body-composition features. Journal of Thoracic Disease. https://doi.org/10.21037/jtd-2026-2022

Source records

crossref · retrieved 2026-11-10T12:24:57.249Z