Interpretable machine-learning risk stratification at the time of diagnosis for 3-year mortality in de novo metastatic prostate cancer: development and temporal validation in SEER.
- DOI
- 10.3389/fonc.2026.1904589
- Published
- 2026
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2026.1904589,
title = {Interpretable machine-learning risk stratification at the time of diagnosis for 3-year mortality in de novo metastatic prostate cancer: development and temporal validation in SEER.},
author = {Wang X and Yao G and Liu H and Ding W},
year = {2026},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2026.1904589},
url = {https://doi.org/10.3389/fonc.2026.1904589}
}RIS
TY - JOUR TI - Interpretable machine-learning risk stratification at the time of diagnosis for 3-year mortality in de novo metastatic prostate cancer: development and temporal validation in SEER. AU - Wang X AU - Yao G AU - Liu H AU - Ding W PY - 2026 JO - Frontiers in oncology DO - 10.3389/fonc.2026.1904589 UR - https://doi.org/10.3389/fonc.2026.1904589 ER -
APA
X, W., G, Y., H, L., & W, D. (2026). Interpretable machine-learning risk stratification at the time of diagnosis for 3-year mortality in de novo metastatic prostate cancer: development and temporal validation in SEER.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1904589
Source records
- pubmed · retrieved 2026-09-26T03:46:44.083Z