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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Detalles Bibliográficos
Autores principales: Yu, Chao, Ren, Guoqi, Dong, Yinzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344039/
https://www.ncbi.nlm.nih.gov/pubmed/32646412
http://dx.doi.org/10.1186/s12911-020-1120-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344039/
https://www.ncbi.nlm.nih.gov/pubmed/32646412
http://dx.doi.org/10.1186/s12911-020-1120-5

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