Cargando…
Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis
Glucose forecasting serves as a backbone for several healthcare applications, including real-time insulin dosing in people with diabetes and physical activity optimization. This paper presents a study on the use of machine learning (ML) and deep learning (DL) methods for predicting glucose variabili...
Autores principales: | Zafar, Ahtsham, Lewis, Dana M., Shahid, Arsalan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048652/ https://www.ncbi.nlm.nih.gov/pubmed/36981436 http://dx.doi.org/10.3390/healthcare11060779 |
Ejemplares similares
-
Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems
por: Shahid, Arsalan, et al.
Publicado: (2022) -
Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes
por: Lewis, Dana M., et al.
Publicado: (2022) -
Open source automated insulin delivery: addressing the challenge
por: Oliver, Nick, et al.
Publicado: (2019) -
A Real-World Prospective Study of the Safety and Effectiveness of the Loop Open Source Automated Insulin Delivery System
por: Lum, John W., et al.
Publicado: (2021) -
Interviews with Indigenous Māori with type 1 diabetes using open-source automated insulin delivery in the CREATE randomised trial
por: Burnside, Mercedes, et al.
Publicado: (2023)