Reinforcement Learning in Neurocritical and Neurosurgical Care: Principles and Possible Applications

Dynamic decision-making was essential in the clinical care of surgical patients. Reinforcement learning (RL) algorithm is a computational method to find sequential optimal decisions among multiple suboptimal options. This review is aimed at introducing RL's basic concepts, including three basic...

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Detalles Bibliográficos
Autores principales: Liu, Ying, Qiao, Nidan, Altinel, Yuksel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925047/
https://www.ncbi.nlm.nih.gov/pubmed/33680069
http://dx.doi.org/10.1155/2021/6657119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925047/
https://www.ncbi.nlm.nih.gov/pubmed/33680069
http://dx.doi.org/10.1155/2021/6657119

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