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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression

Prediction models for disease onset are critical in biomedical research and survival analysis. With machine learning methods increasingly being used to handle survival data with censoring, unbiased transformation theory offers an alternative method for estimating survival tasks in the presence of su...

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Autors principals: Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2025-01-01
Col·lecció:IEEE Access
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Accés en línia:https://ieeexplore.ieee.org/document/10993430/
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