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Open access Aug 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

Men with de novo metastatic prostate cancer (mPCa) face a poor but heterogeneous prognosis, yet interpretable, transparently reported diagnostic-time tools remain limited. Using the Surveillance, Epidemiology, and End Results (SEER) 17-registry database (2010–2020), we developed and temporally validated machine-learnin...

Xin Wang, Guang-Lei Yao, He-Qian Liu et al. · 0 citations

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