The proposed hybrid model demonstrates capability in providing personalized blood glucose (BG) predictions (IMAGE)

Jeonbuk National University, Sustainable Strategy team, Planning and Coordination Division

The proposed hybrid model demonstrates capability in providing personalized blood glucose (BG) predictions

Caption

BiT-MAML adopts meta-learning to address inter-patient variability and a hybrid architecture to capture both short-term and long-term patterns in BG levels. The proposed evaluation scheme shows a new approach for predicting BG levels in patients while accounting for inter-patient variability.

Credit

Professor Jaehyuk Cho from Jeonbuk National University, Korea

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