🧬 biology
Optimization-Based Adaptive Hybrid Biomarker Selection with Explainable Attention 1D-CNN for Early Ovarian Cancer Prediction
This paper proposes an optimization-based adaptive hybrid biomarker selection framework (O-AHBS) integrated with an attention-enhanced multi-scale 1D-CNN to improve the accuracy, robustness, and interpretability of early ovarian cancer prediction by effectively handling high-dimensional, noisy biomedical data.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer
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