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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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