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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| 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 |