Cargando…
Multilevel clustering approach driven by continuous glucose monitoring data for further classification of type 2 diabetes
INTRODUCTION: Mining knowledge from continuous glucose monitoring (CGM) data to classify highly heterogeneous patients with type 2 diabetes according to their characteristics remains unaddressed. A refined clustering method that retrieves hidden information from CGM data could provide a viable metho...
Autores principales: | Tao, Rui, Yu, Xia, Lu, Jingyi, Shen, Yun, Lu, Wei, Zhu, Wei, Bao, Yuqian, Li, Hongru, Zhou, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908294/ https://www.ncbi.nlm.nih.gov/pubmed/33627315 http://dx.doi.org/10.1136/bmjdrc-2020-001869 |
Ejemplares similares
-
Impact of Ramadan fasting on glucose levels in women with gestational diabetes mellitus treated with diet alone or diet plus metformin: a continuous glucose monitoring study
por: Afandi, Bachar O, et al.
Publicado: (2017) -
Time in range, as measured by continuous glucose monitor, as a predictor of microvascular complications in type 2 diabetes: a systematic review
por: Raj, Rishi, et al.
Publicado: (2022) -
Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study
por: Valenzano, Marina, et al.
Publicado: (2021) -
Performance of the Medtronic Sentrino continuous glucose management (CGM) system in the cardiac intensive care unit
por: Kosiborod, Mikhail, et al.
Publicado: (2014) -
Flash glucose monitoring helps achieve better glycemic control than conventional self-monitoring of blood glucose in non-insulin-treated type 2 diabetes: a randomized controlled trial
por: Wada, Eri, et al.
Publicado: (2020)