Cargando…
Implicit HbA1c Achieving 87% Accuracy within 90 Days in Non-Invasive Fasting Blood Glucose Measurements Using Photoplethysmography
To reduce the error induced by overfitting or underfitting in predicting non-invasive fasting blood glucose (NIBG) levels using photoplethysmography (PPG) data alone, we previously demonstrated that incorporating HbA1c led to a notable 10% improvement in NIBG prediction accuracy (the ratio in zone A...
Autores principales: | Chu, Justin, Chang, Yao-Ting, Liaw, Shien-Kuei, Yang, Fu-Liang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604272/ https://www.ncbi.nlm.nih.gov/pubmed/37892937 http://dx.doi.org/10.3390/bioengineering10101207 |
Ejemplares similares
-
90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c
por: Chu, Justin, et al.
Publicado: (2021) -
Machine-Learning-Based Noninvasive In Vivo Estimation of HbA1c Using Photoplethysmography Signals
por: Kwon, Tae-Ho, et al.
Publicado: (2022) -
Empirically Establishing Blood Glucose Targets to Achieve HbA(1c) Goals
por: Wei, Nancy, et al.
Publicado: (2014) -
Measurement of HbA(1c) and HbA(2) by Capillarys 2 Flex Piercing HbA(1c) programme for simultaneous management of diabetes and screening for thalassemia
por: Ke, Peifeng, et al.
Publicado: (2017) -
Standardization of the HbA(2) Assay
por: Paleari, Renata, et al.
Publicado: (2018)