GluNet: A deep learning framework for accurate glucose forecasting

K Li, C Liu, T Zhu, P Herrero… - IEEE journal of …, 2019 - ieeexplore.ieee.org
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …

Dilated recurrent neural networks for glucose forecasting in type 1 diabetes

T Zhu, K Li, J Chen, P Herrero, P Georgiou - Journal of Healthcare …, 2020 - Springer
Diabetes is a chronic disease affecting 415 million people worldwide. People with type 1
diabetes mellitus (T1DM) need to self-administer insulin to maintain blood glucose (BG) …

Machine Learning-Based Approach for Predictive Analytics in Healthcare

SK Hegde, MR Mundada - Deep Learning Applications for Cyber …, 2022 - igi-global.com
In this internet era, due to digitization in every application, a huge amount of data is
produced digitally from the healthcare sectors. As per the World Health Organization (WHO) …

A novel hand-held interface supporting the self-management of type 1 diabetes

R Spence, C Uduku, K Li, N Oliver… - arXiv preprint arXiv …, 2020 - arxiv.org
The paper describes the interaction design of a hand-held interface supporting the self-
management of Type 1 diabetes. It addresses well-established clinical and human-computer …