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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| 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
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| 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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