Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering

OBJECTIVE: Hyperglycemia has emerged as an important clinical manifestation of coronavirus disease 2019 (COVID-19) in diabetic and nondiabetic patients. Whether these glycemic changes are specific to a subgroup of patients and persist following COVID-19 resolution remains to be elucidated. This work...

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Detalles Bibliográficos
Autores principales: Mistry, Sejal, Gouripeddi, Ramkiran, Facelli, Julio C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364667/
https://www.ncbi.nlm.nih.gov/pubmed/34409266
http://dx.doi.org/10.1093/jamiaopen/ooab063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364667/
https://www.ncbi.nlm.nih.gov/pubmed/34409266
http://dx.doi.org/10.1093/jamiaopen/ooab063

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