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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Bibliografske podrobnosti

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
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-07-01
Serija:	Applied Sciences
Teme:	survival analysis Machine Learning Deep Learning explainable artificial intelligence rehabilitation medicine obstructive sleep apnea
Online dostop:	https://www.mdpi.com/2076-3417/14/14/6084
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