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This paper presents a scalable clinical data infrastructure and compares deep learning (TG-CNN) with traditional machine learning models (LASSO and Random Forests) for predicting hospitalization risk in elderly patients with multiple long-term conditions, concluding that LASSO is better suited for clinical deployment due to superior calibration.