yixiangD/AccurateBG
Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"
Employs transfer learning and synthetic data augmentation techniques to address limited patient datasets, with configurable prediction horizons (30 minutes to 1 hour ahead). Built on TensorFlow 1.15.0 and evaluated on the OhioT1DM dataset, the implementation provides command-line interfaces for training and testing with tunable epoch and forecasting parameters.
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53
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14
Language
Python
License
MIT
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Last pushed
Oct 27, 2024
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