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Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement
  Learning: An In Silico Validation

Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation

18 May 2020
Taiyu Zhu
Kezhi Li
P. Herrero
Pantelis Georgiou
ArXiv (abs)PDFHTML

Papers citing "Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation"

18 / 18 papers shown
Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement Learning
Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement Learning
Yuhan Tang
OffRL
101
0
0
19 Oct 2025
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin TreatmentIEEE Access (IEEE Access), 2025
Maria Panagiotou
Lorenzo Brigato
Vivien Streit
Amanda Hayoz
Stephan Proennecke
...
Andriani Vazeou
Peter R. Mertens
Ulrik Pedersen-Bjergaard
Bastiaan E. de Galan
Stavroula Mougiakakou
254
3
0
20 May 2025
Counterfactual Explanations for Continuous Action Reinforcement Learning
Counterfactual Explanations for Continuous Action Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Shuyang Dong
Shangtong Zhang
Lu Feng
OffRLLRM
399
0
0
19 May 2025
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes
Maria Panagiotou
Knut Stroemmen
Lorenzo Brigato
Bastiaan E. de Galan
Stavroula Mougiakakou
218
3
0
24 Mar 2025
GlucOS: Security, correctness, and simplicity for automated insulin delivery
GlucOS: Security, correctness, and simplicity for automated insulin delivery
Hari Venugopalan
Shreyas Madhav Ambattur Vijayanand
Caleb Stanford
Stephanie Crossen
Samuel T. King
AI4TS
225
3
0
26 Jun 2024
DTR-Bench: An in silico Environment and Benchmark Platform for
  Reinforcement Learning Based Dynamic Treatment Regime
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
Zhiyao Luo
Mingcheng Zhu
Fenglin Liu
Jiali Li
Yangchen Pan
Jiandong Zhou
Tingting Zhu
OffRL
263
8
0
28 May 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep
  Reinforcement Learning
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
Weiwei Gu
Senquan Wang
247
12
0
12 Mar 2024
Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health
  Monitoring Systems
Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
Ziqiang Ye
Yulan Gao
Yue Xiao
Zehui Xiong
Dusit Niyato
96
2
0
19 Jan 2024
End-to-end Offline Reinforcement Learning for Glycemia Control
End-to-end Offline Reinforcement Learning for Glycemia Control
Tristan Beolet
Alice Adenis
E. Huneker
Maxime Louis
OffRL
209
4
0
16 Oct 2023
Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for
  People with Type 1 Diabetes: In-Silico Experiments
Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico ExperimentsIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Anas El Fathi
Marc D. Breton
OffRL
130
6
0
17 Sep 2023
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent
  Reinforcement Learning (RL) Methodology
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) MethodologyControl Engineering Practice (Control Eng. Pract.), 2023
Mehrad Jaloli
M. Cescon
OffRL
183
11
0
17 Jul 2023
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep
  Reinforcement Learning
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement LearningIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Wenzhou Lv
Tianyu Wu
Luolin Xiong
Liang Wu
Jianglei Zhou
Yang Tang
Feng Qian
275
7
0
13 Jul 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy
  Constraint Q Learning for Propofol Infusion Control
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion ControlIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Xiuding Cai
Jiao Chen
Yaoyao Zhu
Beiming Wang
Yu Yao
OffRL
321
16
0
17 Mar 2023
Deep Offline Reinforcement Learning for Real-world Treatment
  Optimization Applications
Deep Offline Reinforcement Learning for Real-world Treatment Optimization ApplicationsKnowledge Discovery and Data Mining (KDD), 2023
Mila Nambiar
Supriyo Ghosh
P. Ong
Y. E. Chan
Y. Bee
Pavitra Krishnaswamy
OffRL
245
33
0
15 Feb 2023
Offline Reinforcement Learning for Safer Blood Glucose Control in People
  with Type 1 Diabetes
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 DiabetesJournal of Biomedical Informatics (JBI), 2022
Harry Emerson
Matt Guy
Ryan McConville
OffRL
317
73
0
07 Apr 2022
Safe Linear Leveling Bandits
Safe Linear Leveling Bandits
Ilker Demirel
Mehmet Ufuk Ozdemir
Cem Tekin
137
1
0
13 Dec 2021
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision
  Medicine
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision MedicineNeural Information Processing Systems (NeurIPS), 2021
Ilker Demirel
Ahmet Çelik
Cem Tekin
381
4
0
26 Nov 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRLAI4TS
231
29
0
05 Aug 2021
1
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