Integrating robust feature selection with deep learning for ultra-high-dimensional survival analysis in renal cell carcinoma

The research method applies robust feature selection approaches to ultra-high-dimensional survival data records from Renal Cell Carcinoma patients through deep learning methodologies. The linear methods LASSO and Elastic Net encounter failure when processing data because they face simultaneous mult...

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Bibliographic Details
Main Authors: Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Raja Aqib Shamim
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2025-11-01
Series:Journal of Nigerian Society of Physical Sciences
Subjects:
Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/2772
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