[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …
including medical devices, mobile computing, and sensor technologies, have the potential to …
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 …
[HTML][HTML] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Background Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood
glucose (BG) regulation that might result in short and long-term health complications and …
glucose (BG) regulation that might result in short and long-term health complications and …
Digital technologies and adherence in respiratory diseases: the road ahead
Outcomes for patients with chronic respiratory diseases remain poor despite the
development of novel therapies. In part, this reflects the fact that adherence to therapy is low …
development of novel therapies. In part, this reflects the fact that adherence to therapy is low …
Machine learning for wearable IoT‐based applications: A survey
This paper gives an overview about applying machine learning (ML) in wearable Wireless
Body Area Network (WBAN). It highlights the main challenges and open issues for deploying …
Body Area Network (WBAN). It highlights the main challenges and open issues for deploying …
[HTML][HTML] A meta-learning approach to personalized blood glucose prediction in type 1 diabetes
Accurate blood glucose prediction is a critical element in modern artificial pancreas systems.
Recently, many deep learning-based models have been proposed for glucose prediction …
Recently, many deep learning-based models have been proposed for glucose prediction …
Recent trends and techniques of blood glucose level prediction for diabetes control
Diabetes, a metabolic disorder disease, can cause short-term acute or even long-term
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
Over-distension prediction via hysteresis loop analysis and patient-specific basis functions in a virtual patient model
Background and objective Recruitment maneuvers (RMs) with subsequent positive-end-
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …
Predicting and preventing nocturnal hypoglycemia in type 1 diabetes using big data analytics and decision theoretic analysis
Background: Despite new glucose sensing technologies, nocturnal hypoglycemia is still a
problem for people with type 1 diabetes (T1D) as symptoms and sensor alarms may not be …
problem for people with type 1 diabetes (T1D) as symptoms and sensor alarms may not be …
Sugarmate: Non-intrusive blood glucose monitoring with smartphones
Inferring abnormal glucose events such as hyperglycemia and hypoglycemia is crucial for
the health of both diabetic patients and non-diabetic people. However, regular blood …
the health of both diabetic patients and non-diabetic people. However, regular blood …