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
-
Close enough? Professional closeness and safe caring
by: Andrew Kendrick, et al.
Published: (2002-09-01) -
Robot Closed-Loop Grasping Based on Deep Visual Servoing Feature Network
by: Junqi Luo, et al.
Published: (2025-01-01) -
Closed Loop Finite Element Modeling of Piezoelectric Smart Structures
by: Guang Meng, et al.
Published: (2006-01-01) -
CLOSED-LOOP CONTROL OF OXYGEN-CONVERTER MELTING
by: V. S. Bogushevsky, et al.
Published: (2013-09-01) -
A Real-Time and Closed-Loop Control Algorithm for Cascaded Multilevel Inverter Based on Artificial Neural Network
by: Libing Wang, et al.
Published: (2014-01-01)