Improving Emergency Department Efficiency by Patient Scheduling Using Deep Reinforcement Learning

Emergency departments (ED) in hospitals usually suffer from crowdedness and long waiting times for treatment. The complexity of the patient’s path flows and their controls come from the patient’s diverse acute level, personalized treatment process, and interconnected medical staff and resources. One...

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Detalles Bibliográficos
Autores principales: Lee, Seunghoon, Lee, Young Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349722/
https://www.ncbi.nlm.nih.gov/pubmed/32230962
http://dx.doi.org/10.3390/healthcare8020077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349722/
https://www.ncbi.nlm.nih.gov/pubmed/32230962
http://dx.doi.org/10.3390/healthcare8020077

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