Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy

In this paper, we present an architecture of a personalized glucose monitoring system (PGMS). PGMS consists of both invasive and non-invasive sensors on a single device. Initially, blood glucose is measured invasively and non-invasively, to train the machine learning models. Then, paired data and co...

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Detalles Bibliográficos
Autores principales: Anand, Pradeep Kumar, Shin, Dong Ryeol, Memon, Mudasar Latif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278000/
https://www.ncbi.nlm.nih.gov/pubmed/32392841
http://dx.doi.org/10.3390/diagnostics10050285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278000/
https://www.ncbi.nlm.nih.gov/pubmed/32392841
http://dx.doi.org/10.3390/diagnostics10050285

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