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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Autors principals:	Poi Tamrakar, Ganesh R. Pathak
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2026-04-01
Col·lecció:	Discover Artificial Intelligence
Matèries:	Breast cancer Deep learning Random optimization Fully connected neural network Outcome prediction
Accés en línia:	https://doi.org/10.1007/s44163-026-01205-3
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