Publications — Radcliffe Department of Medicine

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Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes.

Zhu T. et al, (2023), IEEE J Biomed Health Inform, PP

A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q-Learning to Improve Type 1 Diabetes Management

Noaro G. et al, (2023), IEEE Journal of Biomedical and Health Informatics, 1 - 10

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks

Zhu T. et al, (2023), IEEE Journal of Biomedical and Health Informatics, 1 - 12

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning.

Zhu T. et al, (2022), IEEE transactions on bio-medical engineering, PP

Enhancing self-management in type 1 diabetes with wearables and deep learning.

Zhu T. et al, (2022), NPJ digital medicine, 5

IoMT-Enabled Real-time Blood Glucose Prediction with Deep Learning and Edge Computing

Zhu T. et al, (2022), IEEE Internet of Things Journal, 1 - 1

Deep Learning for Diabetes: A Systematic Review.

Zhu T. et al, (2021), IEEE journal of biomedical and health informatics, 25, 2744 - 2757

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation.

Zhu T. et al, (2021), IEEE journal of biomedical and health informatics, 25, 1223 - 1232

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning.

Zhu T. et al, (2020), Sensors (Basel, Switzerland), 20

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes.

Zhu T. et al, (2020), Journal of healthcare informatics research, 4, 308 - 324

Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation

Zhu T. et al, (2020)

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.

Li K. et al, (2020), IEEE journal of biomedical and health informatics, 24, 414 - 423

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