Seasonal Local Models for Glucose Prediction in Type 1 Diabetes
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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
CGM-Based Blood Glucose Prediction Model With LSTM Encoder–Decoder Architecture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3517554
Abstract: Accurate prediction of blood glucose levels is crucial for automated treatment in diabetic patients. This study proposes a blood glucose prediction model based on an improved attention mechanism within a long short-term memory (LSTM) encoder-decoder… read more here.
Keywords: blood glucose; prediction; model; glucose prediction ... See more keywords
Noninvasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization
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DOI: 10.1109/jsen.2025.3542385
Abstract: In this study, we present a noninvasive glucose prediction system that integrates near-infrared (NIR) spectroscopy and millimeter-wave (mm-wave) sensing. We employ a mixed linear model (MixedLM) to analyze the association between mm-wave frequency ${S}_{{21}}$ parameters… read more here.
Keywords: glucose prediction; noninvasive glucose; prediction system; domain generalization ... 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
Kernel-Based Learning With Adaptive Physiological Constraints for Personalized Postprandial Glucose Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2025.3556236
Abstract: Accurate and physiologically interpretable postprandial glucose prediction is of importance in diabetes self-management. In this work, the problem of personalized glucose prediction is considered, and an interpretable postprandial glucose trajectory prediction framework is proposed based… read more here.
Keywords: glucose prediction; kernel based; physiological constraints; prediction ... 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
921-P: Impact of Heart Rate and Step Count on Deep Learning Glucose Prediction Models during Physical Activity
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DOI: 10.2337/db25-921-p
Abstract: Introduction and Objective: Accurate glucose prediction is vital for effective glucose management during physical activity (PA) [1], as PA significantly impacts glucose dynamics. This study evaluates the integration of heart rate (HR) and step count… read more here.
Keywords: physical activity; employee; employee diabeloop; glucose prediction ... See more keywords
Double-Layer Simplified Complex Interval Neural Network Stacking for Blood Glucose Prediction of Continuous Glucose Monitoring System
Sign Up to like & getrecommendations! Published in 2025 at "Biosensors"
DOI: 10.3390/bios15110707
Abstract: Diabetes is a metabolic disorder characterized by persistent hyperglycemia, with its incidence steadily rising worldwide. Blood glucose monitoring is a core measure in diabetes management, and continuous glucose monitoring provides more comprehensive and accurate glucose… read more here.
Keywords: glucose prediction; blood glucose; continuous glucose; prediction ... See more keywords