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LSTM-based classification of metabolic health groups using time-series Continuous Glucose Monitoring (CGM) data from the AI-READI dataset.
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This is a personal or research-focused project with zero stars or forks. It applies standard LSTM architectures to a specific medical dataset (AI-READI). While the domain of metabolic health is high-value, the implementation is a standard deep learning pipeline that offers no technical moat or unique data advantage over existing medical AI research.
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