Random optimization-based feature selection for breast cancer outcome prediction using fully connected neural networks on multi-omic data
Abstract The medical diagnostics and treatment have not helped to remove breast cancer as a significant health issue in the world. Risk stratification and informed clinical decision-making depend on accurate prediction of breast cancer outcomes. In this study, we propose a deep learning-based outcom...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer
2026-04-01
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| Series: | Discover Artificial Intelligence |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1007/s44163-026-01205-3 |
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