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Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in healthcare domains. Recent years have seen a great progress of applying RL in addressing decision-making problems in Intensive Care Units (ICUs). However, since the goal of...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7344039/ https://ncbi.nlm.nih.gov/pubmed/32646412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-1120-5 |
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