dyneth02 / Genome-based-Disorder-Prediction-SystemView on GitHub
Machine learning system for predicting genetic disorders using genomic, clinical, and demographic data. Implements robust preprocessing, feature selection, and multi-model classification (RF, XGBoost, LightGBM, CatBoost) with cross-validation to support early, data-driven genetic risk assessment.
☆12Jan 2, 2026Updated 10 months ago

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