Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques
I Rodríguez-Rodríguez, I Chatzigiannakis… - Sensors, 2019 - mdpi.com
Machine learning techniques combined with wearable electronics can deliver accurate short-
term blood glucose level prediction models. These models can learn personalized glucose …
term blood glucose level prediction models. These models can learn personalized glucose …
Deep physiological model for blood glucose prediction in T1DM patients
M Munoz-Organero - Sensors, 2020 - mdpi.com
Accurate estimations for the near future levels of blood glucose are crucial for Type 1
Diabetes Mellitus (T1DM) patients in order to be able to react on time and avoid hypo and …
Diabetes Mellitus (T1DM) patients in order to be able to react on time and avoid hypo and …
[HTML][HTML] Development of a deep learning model for dynamic forecasting of blood glucose level for type 2 diabetes mellitus: secondary analysis of a randomized …
Background: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-
management of diabetes including maintaining a healthy lifestyle is essential for glycemic …
management of diabetes including maintaining a healthy lifestyle is essential for glycemic …
Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes
Objective: Controlling blood glucose in the euglycemic range is the main goal of developing
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
IoMT innovations in diabetes management: Predictive models using wearable data
I Rodríguez-Rodríguez, M Campo-Valera… - Expert Systems with …, 2024 - Elsevier
Diabetes Mellitus (DM) represents a metabolic disorder characterized by consistently
elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM …
elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM …
Blood glucose prediction in type 1 diabetes using deep learning on the edge
Real-time blood glucose (BG) prediction can enhance decision support systems for insulin
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
A multitask learning approach to personalized blood glucose prediction
Blood glucose prediction algorithms are key tools in the development of decision support
systems and closed-loop insulin delivery systems for blood glucose control in diabetes …
systems and closed-loop insulin delivery systems for blood glucose control in diabetes …
Blood glucose prediction with variance estimation using recurrent neural networks
J Martinsson, A Schliep, B Eliasson… - Journal of Healthcare …, 2020 - Springer
Many factors affect blood glucose levels in type 1 diabetics, several of which vary largely
both in magnitude and delay of the effect. Modern rapid-acting insulins generally have a …
both in magnitude and delay of the effect. Modern rapid-acting insulins generally have a …
Automatic blood glucose prediction with confidence using recurrent neural networks
J Martinsson, A Schliep, B Eliasson… - … in Healthcare Data …, 2018 - diva-portal.org
Low-cost sensors continuously measuring blood glucose levels in intervals of a few minutes
and mobile platforms combined with machine-learning (ML) solutions enable personalized …
and mobile platforms combined with machine-learning (ML) solutions enable personalized …
Benchmarking machine learning algorithms on blood glucose prediction for type I diabetes in comparison with classical time-series models
Objective: This paper aims to compare the performance of several commonly known
machine-learning (ML) models versus a classic Autoregression with Exogenous inputs …
machine-learning (ML) models versus a classic Autoregression with Exogenous inputs …