dyneth02/Genome-based-Disorder-Prediction-System
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.
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JavaScript
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Last pushed
Jan 02, 2026
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