Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes

BACKGROUND: Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood glucose (BG) regulations. The BG level is preferably maintained close to normality through self-management practices, which involves actively tracking BG levels and taking proper actions including adjusting...

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Detalles Bibliográficos
Autores principales: Woldaregay, Ashenafi Zebene, Årsand, Eirik, Botsis, Taxiarchis, Albers, David, Mamykina, Lena, Hartvigsen, Gunnar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658321/
https://www.ncbi.nlm.nih.gov/pubmed/31042157
http://dx.doi.org/10.2196/11030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658321/
https://www.ncbi.nlm.nih.gov/pubmed/31042157
http://dx.doi.org/10.2196/11030

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