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A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption
Contagious disease pandemics, such as COVID-19, can cause hospitals around the world to delay nonemergent elective surgeries, which results in a large surgery backlog. To develop an operational solution for providing patients timely surgical care with limited health care resources, this study propos...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119544/ https://www.ncbi.nlm.nih.gov/pubmed/37084163 http://dx.doi.org/10.1007/s10729-023-09636-5 |