A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) Using Artificial Neural Network (ANN)-Reference-Cited by-同舟云学术

A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) Using Artificial Neural Network (ANN)

Published:2019-08-24 Issue: Volume: Page:684-695
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Asad Muhammad,Qamar Usman

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-29513-4_51

Reference15 articles.

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2. Ahmad, A., Mustapha, A., Zahadi, E., Masah, N., Yahaya, N.: Comparison between neural networks against decision tree in improving prediction accuracy for diabetes mellitus. In: Digital Information Processing and Communications, pp. 537–545 (2011)

3. Malik, B., Naqash, A., Bhat, G.: Backpropagation artificial neural network for determination of glucose concentration from near-infrared spectra. In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2016)

4. Li, N., Tuo, J., Wang, Y.: Chaotic time series analysis approach for prediction blood glucose concentration based on echo state networks. In: 2018 Chinese Control and Decision Conference (CCDC) (2018)

5. Hamdi, T., Ben Ali, J., Fnaiech, N., Di Costanzo, V., Fnaiech, F., Moreau, E., Ginoux, J.: Artificial neural network for blood glucose level prediction. In: 2017 International Conference on Smart, Monitored and Controlled Cities (SM2C) (2017)

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