Cargando…
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management
To avoid serious diabetic complications, people with type 1 diabetes must keep their blood glucose levels (BGLs) as close to normal as possible. Insulin dosages and carbohydrate consumption are important considerations in managing BGLs. Since the 1960s, models have been developed to forecast blood g...
Autores principales: | Beauchamp, Jeremy, Bunescu, Razvan, Marling, Cindy, Li, Zhongen, Liu, Chang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126192/ https://www.ncbi.nlm.nih.gov/pubmed/34068808 http://dx.doi.org/10.3390/s21093303 |
Ejemplares similares
-
Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction
por: Wang, Lei, et al.
Publicado: (2023) -
Forecasting Hazard Level of Air Pollutants Using LSTM’s
por: Gul, Saba, et al.
Publicado: (2020) -
Generalised Analog LSTMs Recurrent Modules for Neural Computing
por: Adam, Kazybek, et al.
Publicado: (2021) -
Anomaly Detection Using an Ensemble of Multi-Point LSTMs
por: Lee, Geonseok, et al.
Publicado: (2023) -
Exploring Musical Structure Using Tonnetz Lattice Geometry and LSTMs
por: Aminian, Manuchehr, et al.
Publicado: (2020)