Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol
Abstract Extending the potential of precision dosing requires evaluating methodologies offering more flexibility and higher degree of personalization. Reinforcement learning (RL) holds promise in its ability to integrate multidimensional data in an adaptive process built toward efficient decision ma...
Main Authors: | Benjamin Ribba, Dominic Stefan Bräm, Paul Gabriel Baverel, Richard Wilson Peck |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-11-01
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Series: | CPT: Pharmacometrics & Systems Pharmacology |
Online Access: | https://doi.org/10.1002/psp4.12858 |
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