A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numer...
Saved in:
| Main Authors: | Yan Feng Zhao, Jun Kit Chaw, Mei Choo Ang, Yiqi Tew, Xiao Yang Shi, Lin Liu, Xiang Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317662 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel pulse-modulated closed-loop artificial pancreas based on intravenous administration of insulin and glucagon
by: Simon L. Goede, et al.
Published: (2024-11-01) -
Study Design and Data Analysis of Artificial Pancreas Device Systems with Closed-Loop Glucose-Sensing Insulin Delivery
by: Sravya B. Shankara, et al.
Published: (2021-01-01) -
A closed loop fully automated wireless vagus nerve stimulation system
by: Roshan Pathitharayil Mathews, et al.
Published: (2025-07-01) -
Adaptive Safe Data Driven Control Strategy for Closed Loop System
by: Wen Ruchun
Published: (2025-01-01) -
A Novel Closed-Loop Deep Learning-Based Smart Infusion Rate Monitoring Technique for Safe Intravenous Medication Administration
by: Subrata Bhattacharjee, et al.
Published: (2025-01-01)