A machine-learning approach to predict postprandial hypoglycemia

BACKGROUND: For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While there have been many studies reporting successful algorithms for predicting no...

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Detalles Bibliográficos
Autores principales: Seo, Wonju, Lee, You-Bin, Lee, Seunghyun, Jin, Sang-Man, Park, Sung-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833234/
https://www.ncbi.nlm.nih.gov/pubmed/31694629
http://dx.doi.org/10.1186/s12911-019-0943-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833234/
https://www.ncbi.nlm.nih.gov/pubmed/31694629
http://dx.doi.org/10.1186/s12911-019-0943-4

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