Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments

Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance could help reduce the number of missed critical illnesses and could reduce avoidable utilization of emergency departments by enabling targeted post-disc...

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Detalles Bibliográficos
Autores principales: Chmiel, F. P., Burns, D. K., Azor, M., Borca, F., Boniface, M. J., Zlatev, Z. D., White, N. M., Daniels, T. W. V., Kiuber, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563762/
https://www.ncbi.nlm.nih.gov/pubmed/34728706
http://dx.doi.org/10.1038/s41598-021-00937-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563762/
https://www.ncbi.nlm.nih.gov/pubmed/34728706
http://dx.doi.org/10.1038/s41598-021-00937-9

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