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AI Ensemble Predicts Blood Glucose in Type 1 Diabetes with Minimal Data
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AI Ensemble Predicts Blood Glucose in Type 1 Diabetes with Minimal Data
Researchers at Fayoum University show that a simple averaged ensemble of machine learning models, evaluated on the OhioT1DM dataset with minimal preprocessing and Clarke Error Grid analysis, delivers clinically competitive blood glucose forecasts for Type 1 Diabetes at 30- and 60-minute horizons, while exploratory SHAP analysis reveals patient-specific feature importance.
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