[HTML][HTML] Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes

L Dénes-Fazakas, L Szilágyi, L Kovács… - …, 2024 - pmc.ncbi.nlm.nih.gov
Background/Objectives: Managing blood glucose levels effectively remains a significant
challenge for individuals with diabetes. Traditional methods often lack the flexibility needed …

Mobile Application Development for Diabetes Patient

C Potyok, B Simon, Á Hartveg, M Siket… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
The proliferation of mobile applications tailored for individuals with diabetes mellitus is on
the rise, revolutionizing the management of this chronic condition. These apps offer diverse …

Web Application Development for Diabetes Patients

M Nagy, B Simon, L Szász, M Siket… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
The summary provides an overview of the proliferation of diabetes management apps,
highlighting their increasing availability and varied features. These apps allow users to log …

Advancing Personalized Diabetes Management: Enabling Research-Driven Closed-Loop Control with AndroidAPS

L Szász, B Simon, L Dénes-Fazakas, L Szilágyi… - IFAC-PapersOnLine, 2024 - Elsevier
Abstract Type 1 Diabetes Mellitus (T1DM) presents a significant health challenge that
requires innovative solutions for effective and personalized management. Automated insulin …

[PDF][PDF] Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes. Biomedicines 2024, 12, 2143

Background/Objectives: Managing blood glucose levels effectively remains a significant
challenge for individuals with diabetes. Traditional methods often lack the flexibility needed …

Why Bump Reward Function Works Well in Training Insulin Delivery Systems

L Dénes-Fazakas, L Szilágyi, G Eigner… - Machine Learning and …, 2024 - Springer
Diabetes is a disease when the body can no longer properly regulate blood glucose level,
which can lead to life-threatening situations. To avoid such situations and regulate blood …