Artificial intelligence biosensors for continuous glucose monitoring
X Jin, A Cai, T Xu, X Zhang - Interdisciplinary Materials, 2023 - Wiley Online Library
Artificial intelligence (AI) algorithms in combination with continuous monitoring technologies
have the potential to revolutionize chronic disease management. The recent innovations in …
have the potential to revolutionize chronic disease management. The recent innovations in …
Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective
Diabetes and its complications are seriously threatening the health and well-being of
hundreds of millions of people. Glucose levels are essential indicators of the health …
hundreds of millions of people. Glucose levels are essential indicators of the health …
In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance
to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a …
to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a …
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients
The hyperglycemic state of people with diabetes can lead to metabolic and healthy
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
Abstract Machine learning has become a popular tool for learning models of complex
dynamics from biomedical data. In Type 1 Diabetes (T1D) management, these models are …
dynamics from biomedical data. In Type 1 Diabetes (T1D) management, these models are …
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
Deep LSTM model for diabetes prediction with class balancing by SMOTE
Diabetes is an acute disease that happens when the pancreas cannot produce enough
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
Blood glucose level prediction: advanced deep-ensemble learning approach
Optimal and sustainable control of blood glucose levels (BGLs) is the aim of type-1 diabetes
management. The automated prediction of BGL using machine learning (ML) algorithms is …
management. The automated prediction of BGL using machine learning (ML) algorithms is …
Bioelectronic Implantable Devices for Physiological Signal Recording and Closed‐Loop Neuromodulation
Bioelectronic implantable devices are adept at facilitating continuous monitoring of health
and enabling the early detection of diseases, offering insights into the physiological …
and enabling the early detection of diseases, offering insights into the physiological …
Feature transformation for efficient blood glucose prediction in type 1 diabetes mellitus patients
H Butt, I Khosa, MA Iftikhar - Diagnostics, 2023 - mdpi.com
Diabetes Mellitus, a metabolic disease, causes the body to lose control over blood glucose
regulation. With recent advances in self-monitoring systems, a patient can access their …
regulation. With recent advances in self-monitoring systems, a patient can access their …