Article

Baseline clinical predictors of long-term survival in a large prostate cancer cohort: a comparative prognostic modelling study using Cox, random survival forest and Hybrid-Cox approaches

2026-07-01

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Accurate prognostic assessment at diagnosis is important for risk stratification and follow-up planning in patients with prostate cancer. However, in many real-world clinical and registry settings, only a limited number of baseline variables are routinely available. Whether more flexible machine-learning survival models provide meaningful advantages over conv...

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Literature Corpus work: 99999cea-a6e9-5763-8cba-b58e21419ea5
DOI: 10.21203/rs.3.rs-9253172/v1

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