Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram
<b>Background:</b> In this study, we explored the potential of predicting dysglycemia in patients who need to continuously manage blood glucose levels using a non-invasive method via electrocardiography (ECG). <b>Methods</b>: The data were collected from patients with diabete...
Saved in:
| Main Authors: | Ho-Jung Song, Ju-Hyuck Han, Sung-Pil Cho, Sung-Il Im, Yong-Suk Kim, Jong-Uk Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/14/22/2489 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metabolites Link Intake of a Healthy Diet to Better Insulin and Glucose Homeostasis in the Microbiome and Insulin Longitudinal Evaluation Study (MILES)
by: Alexis C Wood, et al.
Published: (2024-11-01) -
Advances in Continuous Glucose Monitoring: Clinical Applications
by: So Yoon Kwon, et al.
Published: (2025-04-01) -
One-hour post-load glucose improves the prediction of cardiovascular events in the OPERA study
by: Anni Saunajoki, et al.
Published: (2021-01-01) -
Analysis of adherence to postpartum screening for early dysglycemia in women with previous gestational diabetes
by: Cvijanović Sara, et al.
Published: (2025-01-01) -
Future horizons in diabetes: integrating AI and personalized care
by: Kaiqi Zhang, et al.
Published: (2025-03-01)