Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning

BACKGROUND: In recent years, several studies have applied advanced AI methods, i.e., deep reinforcement learning, in discovering more efficient treatment policies for sepsis. However, due to a paucity of understanding of sepsis itself, the existing approaches still face a severe evaluation challenge...

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Detalles Bibliográficos
Autores principales: Yu, Chao, Huang, Qikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979564/
https://www.ncbi.nlm.nih.gov/pubmed/36859257
http://dx.doi.org/10.1186/s12911-023-02126-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979564/
https://www.ncbi.nlm.nih.gov/pubmed/36859257
http://dx.doi.org/10.1186/s12911-023-02126-2

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