Prediction of bone or lung metastasis in prostate cancer using machine learning: a SEER-based study with external validation
Abstract Background Prostate cancer (PCa) often metastasizes to bone or lung, leading to poor prognosis and higher mortality. Early identification of patients at high risk for metastasis is critical for improving treatment outcomes. However, current prediction models are limited in accuracy and gene...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2025-11-01
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| Schriftenreihe: | Discover Oncology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s12672-025-04030-9 |
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