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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Enregistré dans:
Détails bibliographiques
Publié dans:BMC Endocr Disord
Auteurs principaux: Lee, Sharen, Zhou, Jiandong, Wong, Wing Tak, Liu, Tong, Wu, William K. K., Wong, Ian Chi Kei, Zhang, Qingpeng, Tse, Gary
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2021
Sujets:
Research
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8097996/
https://ncbi.nlm.nih.gov/pubmed/33947391
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12902-021-00751-4
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