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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...
Autores principales: | Mayo, Michael, Chepulis, Lynne, Paul, Ryan G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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 |
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