Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques

Machine learning techniques combined with wearable electronics can deliver accurate short-term blood glucose level prediction models. These models can learn personalized glucose–insulin dynamics based on the sensor data collected by monitoring several aspects of the physiological condition and daily...

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Detalles Bibliográficos
Autores principales: Rodríguez-Rodríguez, Ignacio, Chatzigiannakis, Ioannis, Rodríguez, José-Víctor, Maranghi, Marianna, Gentili, Michele, Zamora-Izquierdo, Miguel-Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833040/
https://www.ncbi.nlm.nih.gov/pubmed/31623111
http://dx.doi.org/10.3390/s19204482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833040/
https://www.ncbi.nlm.nih.gov/pubmed/31623111
http://dx.doi.org/10.3390/s19204482

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