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Glycemic-aware metrics and oversampling techniques for predicting blood glucose levels using machine learning

Techniques using machine learning for short term blood glucose level prediction in patients with Type 1 Diabetes are investigated. This problem is significant for the development of effective artificial pancreas technology so accurate alerts (e.g. hypoglycemia alarms) and other forecasts can be gene...

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Detalles Bibliográficos
Autores principales: Mayo, Michael, Chepulis, Lynne, Paul, Ryan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886807/
https://www.ncbi.nlm.nih.gov/pubmed/31790464
http://dx.doi.org/10.1371/journal.pone.0225613