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Journal Abstract Search

490 related items for PubMed ID: 34998516

  • 1. Continuous action deep reinforcement learning for propofol dosing during general anesthesia.
    Schamberg G, Badgeley M, Meschede-Krasa B, Kwon O, Brown EN.
    Artif Intell Med; 2022 Jan; 123():102227. PubMed ID: 34998516
    [Abstract] [Full Text] [Related]

  • 2. Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol.
    Ribba B, Bräm DS, Baverel PG, Peck RW.
    CPT Pharmacometrics Syst Pharmacol; 2022 Nov; 11(11):1497-1510. PubMed ID: 36177959
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  • 3. Optimizing intraoperative administration of propofol, remifentanil, and fentanyl through pharmacokinetic and pharmacodynamic simulations to increase the postoperative duration of analgesia.
    Tams C, Syroid N, Vasilopoulos T, Johnson K.
    J Clin Monit Comput; 2019 Dec; 33(6):959-971. PubMed ID: 30864076
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  • 4. Model-Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing.
    Tosca EM, De Carlo A, Ronchi D, Magni P.
    Clin Pharmacol Ther; 2024 Sep; 116(3):619-636. PubMed ID: 38989560
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  • 5. Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.
    Yu C, Liu J, Zhao H.
    BMC Med Inform Decis Mak; 2019 Apr 09; 19(Suppl 2):57. PubMed ID: 30961594
    [Abstract] [Full Text] [Related]

  • 6. Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control.
    Cai X, Chen J, Zhu Y, Wang B, Yao Y.
    IEEE J Biomed Health Inform; 2023 Oct 02; PP():. PubMed ID: 37782591
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  • 7. Optimal adaptive control of drug dosing using integral reinforcement learning.
    Padmanabhan R, Meskin N, Haddad WM.
    Math Biosci; 2019 Mar 02; 309():131-142. PubMed ID: 30735696
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  • 12. Systematic literature review on reinforcement learning in non-communicable disease interventions.
    Zhao Y, Chaw JK, Liu L, Chaw SH, Ang MC, Ting TT.
    Artif Intell Med; 2024 Aug 02; 154():102901. PubMed ID: 38838400
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  • 15. What matters in reinforcement learning for tractography.
    Théberge A, Desrosiers C, Boré A, Descoteaux M, Jodoin PM.
    Med Image Anal; 2024 Apr 02; 93():103085. PubMed ID: 38219499
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  • 16. Context meta-reinforcement learning via neuromodulation.
    Ben-Iwhiwhu E, Dick J, Ketz NA, Pilly PK, Soltoggio A.
    Neural Netw; 2022 Aug 02; 152():70-79. PubMed ID: 35512540
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  • 17. Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.
    Akrour R, Tateo D, Peters J.
    IEEE Trans Pattern Anal Mach Intell; 2022 Oct 02; 44(10):6795-6806. PubMed ID: 34375280
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  • 18. Deep reinforcement learning-based control of chemo-drug dose in cancer treatment.
    Mashayekhi H, Nazari M, Jafarinejad F, Meskin N.
    Comput Methods Programs Biomed; 2024 Jan 02; 243():107884. PubMed ID: 37948911
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  • 20. The value-complexity trade-off for reinforcement learning based brain-computer interfaces.
    Levi-Aharoni H, Tishby N.
    J Neural Eng; 2021 Feb 13; 17(6):066011. PubMed ID: 33586668
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