Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
M Eghbali-Zarch, S Masoud - Artificial Intelligence in Medicine, 2024 - Elsevier
Proper insulin management is vital for maintaining stable blood sugar levels and preventing
complications associated with diabetes. However, the soaring costs of insulin present …
complications associated with diabetes. However, the soaring costs of insulin present …
An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems
In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by
feedforward control, which requires the announcement of the meal by the patient with type 1 …
feedforward control, which requires the announcement of the meal by the patient with type 1 …
Telehealth-Enabled In-Home Elbow Rehabilitation for Brachial Plexus Injuries Using Deep-Reinforcement-Learning-Assisted Telepresence Robots
Due to damage to the network of nerves that regulate the muscles and feeling in the
shoulder, arm, and forearm, brachial plexus injuries (BPIs) are known to significantly reduce …
shoulder, arm, and forearm, brachial plexus injuries (BPIs) are known to significantly reduce …
[HTML][HTML] G2P2C—A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes
Develo** diagnostic and treatment solutions for medical applications is often challenging
due to the complex dynamics, partial observability, high inter-and intra-population variability …
due to the complex dynamics, partial observability, high inter-and intra-population variability …
[HTML][HTML] Traffic Signal Control with State-Optimizing Deep Reinforcement Learning and Fuzzy Logic
T Meepokgit, S Wisayataksin - Applied Sciences, 2024 - mdpi.com
Traffic lights are the most commonly used tool to manage urban traffic to reduce congestion
and accidents. However, the poor management of traffic lights can result in further problems …
and accidents. However, the poor management of traffic lights can result in further problems …
Blood-glucose regulator design for diabetics based on LQIR-driven Sliding-Mode-Controller with self-adaptive reaching law
Type I Diabetes is an endocrine disorder that prevents the pancreas from regulating the
blood glucose (BG) levels in a patient's body. The ubiquitous Linear-Quadratic-Integral …
blood glucose (BG) levels in a patient's body. The ubiquitous Linear-Quadratic-Integral …
Programmable transimpedance amplifier with integrated bandgap reference for glucose concentration measurement
For glucose electrochemical sensors, a comprehensive electronics interface is designed
and constructed in 0.18 um, CMOS process technology, and 1.5 V supply voltage. This …
and constructed in 0.18 um, CMOS process technology, and 1.5 V supply voltage. This …
Multimodal Reinforcement Learning for Embedding Networks and Medication Recommendation in Parkinson's Disease
This study presents a comprehensive framework for analyzing Parkinson's disease (PD)
progression and optimizing medication recommendations based on multimodal data …
progression and optimizing medication recommendations based on multimodal data …
Good practices and common pitfalls of machine learning in nutrition research
D Kirk - Proceedings of the Nutrition Society, 2024 - cambridge.org
Machine learning is increasingly being utilised across various domains of nutrition research
due to its ability to analyse complex data, especially as large datasets become more readily …
due to its ability to analyse complex data, especially as large datasets become more readily …
Auto adaptation of closed-loop insulin delivery system using continuous reward functions and incremental discretization
Several closed or hybrid loop controllers for Blood Glucose (BG) regulation, which are also
known as Artificial Pancreas (AP) Systems or Automated Insulin Delivery systems (AIDs), are …
known as Artificial Pancreas (AP) Systems or Automated Insulin Delivery systems (AIDs), are …