Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.

Fang J, Zhu J, Huang R, Dai X, Gao F, Li H, Xue J, Liu C, Li Z, Zheng J, Xie K

Open source

DOI
10.1016/j.ejso.2026.111792
Published
2026 Jun
Container
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ejso.2026.111792,
  title = {Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.},
  author = {Fang J and Zhu J and Huang R and Dai X and Gao F and Li H and Xue J and Liu C and Li Z and Zheng J and Xie K},
  year = {2026},
  journal = {European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology},
  doi = {10.1016/j.ejso.2026.111792},
  url = {https://doi.org/10.1016/j.ejso.2026.111792}
}

RIS

TY  - JOUR
TI  - Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.
AU  - Fang J
AU  - Zhu J
AU  - Huang R
AU  - Dai X
AU  - Gao F
AU  - Li H
AU  - Xue J
AU  - Liu C
AU  - Li Z
AU  - Zheng J
AU  - Xie K
PY  - 2026
JO  - European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
DO  - 10.1016/j.ejso.2026.111792
UR  - https://doi.org/10.1016/j.ejso.2026.111792
ER  - 

APA

J, F., J, Z., R, H., X, D., F, G., H, L., J, X., C, L., Z, L., J, Z., & K, X. (2026). Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology. https://doi.org/10.1016/j.ejso.2026.111792

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