This project intentionally prioritizes interpretability and uncertainty awareness over raw accuracy, aligning with responsible AI practices in biomedical ML.
Genomic ML-Based Risk Stratification for Alzheimer’s Disease
An interpretable machine-learning framework for genomic risk stratification in Alzheimer’s disease, combining multi-class prediction with confidence-based prioritization to support biological insight.
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