Seasonal Local Models for Glucose Prediction in Type 1 Diabetes
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2956704
Abstract: Linear empirical dynamic models have been widely used for blood glucose prediction and risks prevention in people with type 1 diabetes. More accurate blood glucose prediction models with longer prediction horizon (PH) are desirable to… read more here.
Keywords: local models; type diabetes; prediction; glucose prediction ... See more keywords
IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3143375
Abstract: Blood glucose (BG) prediction is essential to the success of glycemic control in type 1 diabetes (T1D) management. Empowered by the recent development of the Internet of Medical Things (IoMT), continuous glucose monitoring (CGM) and… read more here.
Keywords: iomt; blood glucose; glucose prediction; prediction ... See more keywords
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3187703
Abstract: The availability of large amounts of data from continuous glucose monitoring (CGM), together with the latest advances in deep learning techniques, have opened the door to a new paradigm of algorithm design for personalized blood… read more here.
Keywords: blood glucose; glucose prediction; prediction; deep learning ... See more keywords
Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/8956850
Abstract: Continuous noninvasive blood glucose monitoring and estimation management by using photoplethysmography (PPG) technology always have a series of problems, such as substantial time variability, inaccuracy, and complex nonlinearity. This paper proposes a blood glucose (BG)… read more here.
Keywords: prediction model; model; prediction; glucose prediction ... See more keywords
Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Diabetes Science and Technology"
DOI: 10.1177/1932296817736074
Abstract: Background: Linear empirical dynamic models have been widely used for glucose prediction. The extension of the concept of seasonality, characteristic of other domains, is explored here for the improvement of prediction accuracy. Methods: Twenty time… read more here.
Keywords: time series; seasonality; glucose prediction; seasonal models ... See more keywords
Multivariate Models of Blood Glucose Prediction in Type1 Diabetes: A Survey of the State-of-the- Art.
Sign Up to like & getrecommendations! Published in 2022 at "Current pharmaceutical biotechnology"
DOI: 10.2174/1389201023666220603092433
Abstract: Diabetes mellitus is a long term chronicle disorder with a high prevalence rate worldwide. Con-tinuous blood glucose and lifestyle monitoring enabled the control of blood glucose dynamics through machine learning applications using data created by… read more here.
Keywords: blood glucose; glucose prediction; survey; prediction ... See more keywords