A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data

Due to the inconvenience of drawing blood and the possibility of infection associated with invasive methods, research on non-invasive glycated hemoglobin (HbA1c) measurement methods is increasing. Utilizing wrist photoplethysmography (PPG) with machine learning to estimate HbA1c can be a promising m...

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Detalles Bibliográficos
Autores principales: Satter, Shama, Kwon, Tae-Ho, Kim, Ki-Doo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460024/
https://www.ncbi.nlm.nih.gov/pubmed/37631768
http://dx.doi.org/10.3390/s23167231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460024/
https://www.ncbi.nlm.nih.gov/pubmed/37631768
http://dx.doi.org/10.3390/s23167231

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