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Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare

Artificial intelligence algorithms have become extensively utilized in survival analysis for high-dimensional, multi-source data. However, due to their complexity, these methods often yield poorly interpretable outcomes, posing challenges in the analysis of several conditions. One of these condition...

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Principais autores: Francesco Berloco, Pietro Maria Marvulli, Vladimiro Suglia, Simona Colucci, Gaetano Pagano, Lucia Palazzo, Maria Aliani, Giorgio Castellana, Patrizia Guido, Giovanni D’Addio, Vitoantonio Bevilacqua
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-07-01
coleção:Applied Sciences
Assuntos:
survival analysis
Machine Learning
Deep Learning
explainable artificial intelligence
rehabilitation medicine
obstructive sleep apnea
Acesso em linha:https://www.mdpi.com/2076-3417/14/14/6084
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