Strategies of Multi-Step-ahead Forecasting for Blood Glucose Level using LSTM Neural Networks: A Comparative Study

Author:

El Idrissi Touria1,Idri Ali2,Kadi Ilham3,Bakkoury Zohra1

Affiliation:

1. Department of Computer Sciences, EMI, University Mohammed V in Rabat, Morocco, --- Select a Country ---

2. Software Project Management Research Team, ENSIAS, University Mohammed V in Rabat, Morocco, Complex Systems Engineering and Human Systems, University Mohammed VI Polytechnic, Ben Guerir, Morocco, --- Select a Country ---

3. Software Project Management Research Team, ENSIAS, University Mohammed V in Rabat, Morocco, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 7 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. Deep learning based one step and multi‐steps ahead forecasting blood glucose level;Expert Systems;2023-07-09

2. Short-Term Photovoltaic Power Prediction Based on Bayesian Regularized BP Neural Networks;2023 6th International Conference on Electrical Engineering and Green Energy (CEEGE);2023-06-06

3. Prediction of Power Generation of a Photovoltaic Power Plant Based on Neural Networks;IEEE Access;2023

4. Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-Task Learning;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

5. Machine and Deep Learning Predictive Techniques for Blood Glucose Level;Information Systems and Technologies;2022

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