[PDF][PDF] Enhancing Efficacy in Breast Cancer Screening with Nesterov Momentum Optimization Techniques
P Ramdass, G Ganesan, S Boulaaras, SS Tantawy - Mathematics, 2024 - researchgate.net
In the contemporary landscape of healthcare, machine learning models are pivotal in
facilitating precise predictions, particularly in the nuanced diagnosis of complex ailments …
facilitating precise predictions, particularly in the nuanced diagnosis of complex ailments …
Optimizing Breast Cancer Detection: Integrating Machine Learning with Feature Selection
S Benghazouani, S Nouh, A Zakrani - International Conference on Digital …, 2024 - Springer
The development of early and precise breast cancer prediction strategies using computer-
aided tools has significantly contributed to reducing mortality rates associated with the …
aided tools has significantly contributed to reducing mortality rates associated with the …
Evaluating Feature Selection Methods in Machine Learning With Class Imbalance
M Asare - 2024 - search.proquest.com
Class imbalance is a common issue in various real-world machine learning applications
such as medical diagnosis and fraud detection, where one class significantly predominates …
such as medical diagnosis and fraud detection, where one class significantly predominates …
Integrating Machine Learning with Feature
SBS Nouh¹, A Zakrani - … of the Fifth International Conference DATA2024 … - books.google.com
The development of early and precise breast cancer prediction strategies using computer-
aided tools has significantly contributed to reducing mortality rates associated with the …
aided tools has significantly contributed to reducing mortality rates associated with the …