Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients

Accurate prediction of blood glucose variations in type 2 diabetes (T2D) will facilitate better glycemic control and decrease the occurrence of hypoglycemic episodes as well as the morbidity and mortality associated with T2D, hence increasing the quality of life of patients. Owing to the complexity...

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Detalles Bibliográficos
Autores principales: Deng, Yixiang, Lu, Lu, Aponte, Laura, Angelidi, Angeliki M., Novak, Vera, Karniadakis, George Em, Mantzoros, Christos S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280162/
https://www.ncbi.nlm.nih.gov/pubmed/34262114
http://dx.doi.org/10.1038/s41746-021-00480-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280162/
https://www.ncbi.nlm.nih.gov/pubmed/34262114
http://dx.doi.org/10.1038/s41746-021-00480-x

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