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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |