Search Results for author: Chengzhe Piao

Found 2 papers, 0 papers with code

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series

no code implementations26 Feb 2024 Chengzhe Piao, Taiyu Zhu, Stephanie E Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li

Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality of life.

Graph Attention Management +1

Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning

no code implementations19 Dec 2023 Chengzhe Piao, Ken Li

Additionally, some methods raise privacy concerns by aggregating participant data to learn population patterns.

Attribute Federated Learning +1

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