Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes

• Published in: Journal of healthcare informatics research Vol. 4; no. 3; pp. 308 - 324
• Main Authors: Zhu, Taiyu, Li, Kezhi, Chen, Jianwei, Herrero, Pau, Georgiou, Pantelis
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2020
• Subjects: Biomedical Engineering and Bioengineering; Computational Biology/Bioinformatics; Computational Intelligence; Computer Science; Data Mining and Knowledge Discovery; Health Informatics; Research Article; Deep learning; Dilated recurrent neural network; Diabetes; Glucose forecasting; Continuous glucose monitor (CGM)

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) levels in a normal range, which is usually a very challenging task. Developing a reliable glucose forecasting model would h...