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...

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Detalles Bibliográficos
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:
Emerging Technologies, Pharmacology and Therapeutics
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

Internet

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

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