These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
121 related articles for article (PubMed ID: 39208051)
1. Hybrid Control Policy for Artificial Pancreas Via Ensemble Deep Reinforcement Learning. Lv W; Wu T; Xiong L; Wu L; Zhou J; Tang Y; Qian F IEEE Trans Biomed Eng; 2024 Aug; PP():. PubMed ID: 39208051 [TBL] [Abstract][Full Text] [Related]
2. Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes. Zhu T; Li K; Georgiou P IEEE J Biomed Health Inform; 2023 Oct; 27(10):5087-5098. PubMed ID: 37607154 [TBL] [Abstract][Full Text] [Related]
3. Embedded Model Predictive Control for a Wearable Artificial Pancreas. Chakrabarty A; Healey E; Shi D; Zavitsanou S; Doyle FJ; Dassau E IEEE Trans Control Syst Technol; 2020 Nov; 28(6):2600-2607. PubMed ID: 33762804 [TBL] [Abstract][Full Text] [Related]
4. Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties. Shi D; Dassau E; Doyle FJ IEEE Trans Biomed Eng; 2019 Apr; 66(4):1045-1054. PubMed ID: 30142748 [TBL] [Abstract][Full Text] [Related]
5. Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator - in silico evaluation under intra-day variability. Herrero P; Bondia J; Adewuyi O; Pesl P; El-Sharkawy M; Reddy M; Toumazou C; Oliver N; Georgiou P Comput Methods Programs Biomed; 2017 Jul; 146():125-131. PubMed ID: 28688482 [TBL] [Abstract][Full Text] [Related]
6. Internal model control based module for the elimination of meal and exercise announcements in hybrid artificial pancreas systems. Sala-Mira I; Garcia P; Díez JL; Bondia J Comput Methods Programs Biomed; 2022 Nov; 226():107061. PubMed ID: 36116400 [TBL] [Abstract][Full Text] [Related]
7. Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems. Chakrabarty A; Zavitsanou S; Doyle FJ; Dassau E IEEE Trans Biomed Eng; 2018 Mar; 65(3):575-586. PubMed ID: 28541890 [TBL] [Abstract][Full Text] [Related]
8. Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems. Sun X; Rashid M; Hobbs N; Brandt R; Askari MR; Cinar A J Diabetes Sci Technol; 2022 Jan; 16(1):19-28. PubMed ID: 34861777 [TBL] [Abstract][Full Text] [Related]
9. Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events. Grosman B; Dassau E; Zisser HC; Jovanovic L; Doyle FJ J Diabetes Sci Technol; 2010 Jul; 4(4):961-75. PubMed ID: 20663463 [TBL] [Abstract][Full Text] [Related]
10. Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. Zhu T; Li K; Herrero P; Georgiou P IEEE J Biomed Health Inform; 2021 Apr; 25(4):1223-1232. PubMed ID: 32755873 [TBL] [Abstract][Full Text] [Related]
11. An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems. Ahmad S; Beneyto A; Zhu T; Contreras I; Georgiou P; Vehi J Sci Rep; 2024 Jul; 14(1):15245. PubMed ID: 38956183 [TBL] [Abstract][Full Text] [Related]
12. Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DM. Gondhalekar R; Dassau E; Doyle FJ Proc Am Control Conf; 2015 Jul; 2015():1635-1640. PubMed ID: 28479661 [TBL] [Abstract][Full Text] [Related]
13. Advanced hybrid artificial pancreas system improves on unannounced meal response - In silico comparison to currently available system. Garcia-Tirado J; Lv D; Corbett JP; Colmegna P; Breton MD Comput Methods Programs Biomed; 2021 Nov; 211():106401. PubMed ID: 34560603 [TBL] [Abstract][Full Text] [Related]
14. Long-term use of the hybrid artificial pancreas by adjusting carbohydrate ratios and programmed basal rate: A reinforcement learning approach. Jafar A; Fathi AE; Haidar A Comput Methods Programs Biomed; 2021 Mar; 200():105936. PubMed ID: 33515844 [TBL] [Abstract][Full Text] [Related]
15. In Silico Analysis of an Exercise-Safe Artificial Pancreas With Multistage Model Predictive Control and Insulin Safety System. Garcia-Tirado J; Colmegna P; Corbett JP; Ozaslan B; Breton MD J Diabetes Sci Technol; 2019 Nov; 13(6):1054-1064. PubMed ID: 31679400 [TBL] [Abstract][Full Text] [Related]
16. Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes. Ozaslan B; Deshpande S; Doyle FJ; Dassau E Front Endocrinol (Lausanne); 2021; 12():768639. PubMed ID: 35392357 [TBL] [Abstract][Full Text] [Related]
17. MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas. Gondhalekar R; Dassau E; Doyle FJ Proc Am Control Conf; 2014 Jun; 2014():4224-4230. PubMed ID: 28479660 [TBL] [Abstract][Full Text] [Related]
18. A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems. Daniels J; Herrero P; Georgiou P Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062427 [TBL] [Abstract][Full Text] [Related]
19. Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas. Pinsker JE; Lee JB; Dassau E; Seborg DE; Bradley PK; Gondhalekar R; Bevier WC; Huyett L; Zisser HC; Doyle FJ Diabetes Care; 2016 Jul; 39(7):1135-42. PubMed ID: 27289127 [TBL] [Abstract][Full Text] [Related]
20. Artificial pancreas: model predictive control design from clinical experience. Toffanin C; Messori M; Di Palma F; De Nicolao G; Cobelli C; Magni L J Diabetes Sci Technol; 2013 Nov; 7(6):1470-83. PubMed ID: 24351173 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]