On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic

OBJECTIVE: This work investigates how reinforcement learning and deep learning models can facilitate the near-optimal redistribution of medical equipment in order to bolster public health responses to future crises similar to the COVID-19 pandemic. MATERIALS AND METHODS: The system presented is simu...

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Detalles Bibliográficos
Autores principales: Bednarski, Bryan P, Singh, Akash Deep, Jones, William M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799039/
https://www.ncbi.nlm.nih.gov/pubmed/33295626
http://dx.doi.org/10.1093/jamia/ocaa324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799039/
https://www.ncbi.nlm.nih.gov/pubmed/33295626
http://dx.doi.org/10.1093/jamia/ocaa324

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