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Cox proportional hazards model with Bayesian neural network for survival prediction

Abstract Survival analysis plays a crucial aspect in medical research and other domains where understanding the time-to-events is paramount. In this study, we present a novel approach for estimating survival outcomes that combines Bayesian neural networks with Cox proportional hazards modeling. Our...

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Autors principals: Fojan Faghiri, Akram Kohansal
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2025-08-01
Col·lecció:Scientific Reports
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Accés en línia:https://doi.org/10.1038/s41598-025-16993-4
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