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Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: Toward a disease-specific survival estimation tool
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Prognostic indicators, treatments, and survival estimates vary by cancer type. Therefore, disease-specific models are needed to estimate patient survival. Our primary aim was to develop models to estimate survival duration after treatment for skeletal-related events (SREs) (symptomatic bone metastasis, including impending or actual pathologic fractures) in men with metastatic bone disease due to prostate cancer.
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