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.
GeneReveal is a system that helps medical professionals assess genetic disorder risks. You input a patient's genetic, clinical, and demographic information, and it provides a prediction of broad genetic disorder categories and specific disorder subclasses. This tool is designed for doctors, genetic counselors, and clinical researchers to support early, data-driven genetic risk assessment.
Use this if you need to quickly and accurately predict a patient's likelihood of having specific genetic disorders and their subclasses based on their medical data.
Not ideal if you are looking for a diagnostic tool that replaces professional medical judgment or direct genetic sequencing.
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JavaScript
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Last pushed
Jan 02, 2026
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