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Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
BACKGROUND: Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep learning techniques have been utilized for a more accurate BG level prediction system. However, continuous g...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968367/ https://www.ncbi.nlm.nih.gov/pubmed/33726723 http://dx.doi.org/10.1186/s12911-021-01462-5 |