14 citations · 16 across the 3 of their papers we have counts for
3 papers
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao, Taiyu Zhu, Yu Wang +6
Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous Glucose…
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Chengzhe Piao, Taiyu Zhu, Stephanie E Baldeweg +5
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality…
Developing moral AI to support antimicrobial decision making
William J Bolton, Cosmin Badea, Pantelis Georgiou +2
Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions. Utilising ethical frameworks alongside AI-driven systems, while considerin…