Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis

Author:

Islam Md ShafiqulORCID,Qaraqe Marwa KhalidORCID,Belhaouari SamirBrahimORCID,Petrovski GoranORCID

Funder

a scholarship from Hamad Bin Khalifa University (HBKU), a member of Qatar Foundation for Education, Science, and Community Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel few shot learning derived architecture for long-term HbA1c prediction;Scientific Reports;2024-01-04

2. The Non-Invasive HbA1c Measurement Device: A Narrative Review;2023 International Conference on Electrical Engineering and Informatics (ICEEI);2023-10-10

3. The effects of L-carnitine supplementation on glycemic markers in adults: A systematic review and dose-response meta-analysis;Frontiers in Nutrition;2023-01-10

4. Toward Personalized Hemoglobin A1c Estimation for Type 2 Diabetes;IEEE Sensors Journal;2022-12-01

5. A Machine Learning Strategy for Internet-of-Things-Enabled Diabetic Prediction to Mitigate Pneumonia Risk;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

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