P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem
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Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-99-1648-1_31
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2. Borle, N.C., Ryan, E.A., Greiner, R.: The challenge of predicting blood glucose concentration changes in patients with type i diabetes. Health Informatics J. 27(1), 1460458220977584 (2021) , https://doi.org/10.1177/1460458220977584, pMID: 33504254
3. Du, M.: Improving lstm neural networks for better short-term wind power predictions. In: 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE), pp. 105–109 (2019). https://doi.org/10.1109/REPE48501.2019.9025143
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