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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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| Publicado no: | NPJ Digit Med |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6550247/ https://ncbi.nlm.nih.gov/pubmed/31304373 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0103-3 |
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