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A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis

Deep Reinforcement Learning (DRL) has been increasingly attempted in assisting clinicians for real-time treatment of sepsis. While a value function quantifies the performance of policies in such decision-making processes, most value-based DRL algorithms cannot evaluate the target value function prec...

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Detalles Bibliográficos
Autores principales: Wu, XiaoDan, Li, RuiChang, He, Zhen, Yu, TianZhi, Cheng, ChangQing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894526/
https://www.ncbi.nlm.nih.gov/pubmed/36732666
http://dx.doi.org/10.1038/s41746-023-00755-5