Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning

INTRODUCTION: Recent studies have reported that HbA1c and lipid variability is useful for risk stratification in diabetes mellitus. The present study evaluated the predictive value of the baseline, subsequent mean of at least three measurements and variability of HbA1c and lipids for adverse outcome...

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Detalles Bibliográficos
Autores principales: Lee, Sharen, Zhou, Jiandong, Wong, Wing Tak, Liu, Tong, Wu, William K. K., Wong, Ian Chi Kei, Zhang, Qingpeng, Tse, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097996/
https://www.ncbi.nlm.nih.gov/pubmed/33947391
http://dx.doi.org/10.1186/s12902-021-00751-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097996/
https://www.ncbi.nlm.nih.gov/pubmed/33947391
http://dx.doi.org/10.1186/s12902-021-00751-4

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