Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring

Blood glucose (BG) monitoring is important for critically ill patients, as poor sugar control has been associated with increased mortality in hospitalized patients. However, constant BG monitoring can be resource-intensive and pose a healthcare burden in clinical practice. In this study, we aimed to...

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Detalles Bibliográficos
Autores principales: Chiu, I-Min, Cheng, Chi-Yung, Chang, Po-Kai, Li, Chao-Jui, Cheng, Fu-Jen, Lin, Chun-Hung Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855414/
https://www.ncbi.nlm.nih.gov/pubmed/36671857
http://dx.doi.org/10.3390/bios13010023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855414/
https://www.ncbi.nlm.nih.gov/pubmed/36671857
http://dx.doi.org/10.3390/bios13010023

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