Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes

Author:

Mougiakakou Stavroula G.,Prountzou Aikaterini,Iliopoulou Dimitra,Nikita Konstantina S.,Vazeou Andriani,Bartsocas Christos S.

Publisher

IEEE

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging deep learning models for continuous glucose monitoring and prediction in diabetes management: towards enhanced blood sugar control;International Journal of System Assurance Engineering and Management;2024-01-17

2. A Hybrid Deep Learning Model for the Blood Glucose Prediction;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03

3. Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application;Bioengineering;2022-04-21

4. Implementation of LSTM for Prediction of Diabetes using CGM;2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART);2021-12-10

5. GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes;Medical & Biological Engineering & Computing;2021-11-09

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