<ul><li>Type 1 diabetes (T1D) management can be enhanced through predictive machine learning algorithms.</li><li>This study integrates short- and long-term prediction horizons within a single classification model to enhance decision support.</li><li>LSTM models outperformed ResNet models in classifying nine classes, but longer prediction horizons remain challenging.</li><li>A population-based six-class model detected at least 60% of hypoglycemia events.</li></ul>

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons

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