Machine and Deep Learning Predictive Techniques for Blood Glucose Level
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04826-5_48
Reference26 articles.
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4. El Idrissi, T., Idri, A., Kadi, I., Bakkoury, Z.: Strategies of multi-step-ahead forecasting for blood glucose level using LSTM neural networks: a comparative study. In: HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems And Technologies, BIOSTEC 2020, pp. 337–344 (2020)
5. El Idrissi, T., Idri, A., Bakkoury, Z.: Data mining techniques in diabetes self-management: a systematic map. In: World Conference on Information Systems And Technologies, pp. 1142–1152 (2018)
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1. Deep learning based one step and multi‐steps ahead forecasting blood glucose level;Expert Systems;2023-07-09
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