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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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| Publicado no: | BMC Med Inform Decis Mak |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6833234/ https://ncbi.nlm.nih.gov/pubmed/31694629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0943-4 |
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