Healio

Machine learning models outperform glucose management indicator in estimating HbA1c

Please provide your email address to receive an email when new articles are posted on . Machine learning models using continuous glucose monitor and demographic data were more accurate at estimating ...
Nature

Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms

Fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c) are key indicators reflecting blood glucose control in type 2 diabetes mellitus (T2DM) patients. The purpose of this study is to ...
Nature

Mendelian Randomization Analysis Support Causal Associations of HbA1c with Circulating Triglyceride, Total and Low-density Lipoprotein Cholesterol in a Chinese Population

Glycated hemoglobin A1c (HbA1c) is a well-established clinical index for assessment of long-term glycemic regulation and diagnosis of diabetes 1. Its predictive value for cardiovascular diseases (CVD) ...