Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.

Bao E, Chai Y, Yang Y, Dai S, Wang C, Zhou X, Li X, Li Y, Yang Q, Liu J

Open source

DOI
10.1080/13685538.2026.2724617
Published
2026 Dec 31
Container
The aging male : the official journal of the International Society for the Study of the Aging Male
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1080/13685538.2026.2724617,
  title = {Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.},
  author = {Bao E and Chai Y and Yang Y and Dai S and Wang C and Zhou X and Li X and Li Y and Yang Q and Liu J},
  year = {2026},
  journal = {The aging male : the official journal of the International Society for the Study of the Aging Male},
  doi = {10.1080/13685538.2026.2724617},
  url = {https://doi.org/10.1080/13685538.2026.2724617}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.
AU  - Bao E
AU  - Chai Y
AU  - Yang Y
AU  - Dai S
AU  - Wang C
AU  - Zhou X
AU  - Li X
AU  - Li Y
AU  - Yang Q
AU  - Liu J
PY  - 2026
JO  - The aging male : the official journal of the International Society for the Study of the Aging Male
DO  - 10.1080/13685538.2026.2724617
UR  - https://doi.org/10.1080/13685538.2026.2724617
ER  - 

APA

E, B., Y, C., Y, Y., S, D., C, W., X, Z., X, L., Y, L., Q, Y., & J, L. (2026). Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.. The aging male : the official journal of the International Society for the Study of the Aging Male. https://doi.org/10.1080/13685538.2026.2724617

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