Predicting scheduled hospital attendance with artificial intelligence

Failure to attend scheduled hospital appointments disrupts clinical management and consumes resource estimated at £1 billion annually in the United Kingdom National Health Service alone. Accurate stratification of absence risk can maximize the yield of preventative interventions. The wide multiplici...

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Detalles Bibliográficos
Autores principales: Nelson, Amy, Herron, Daniel, Rees, Geraint, Nachev, Parashkev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550247/
https://www.ncbi.nlm.nih.gov/pubmed/31304373
http://dx.doi.org/10.1038/s41746-019-0103-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550247/
https://www.ncbi.nlm.nih.gov/pubmed/31304373
http://dx.doi.org/10.1038/s41746-019-0103-3

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