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Prediction of hospital no-show appointments through artificial intelligence algorithms
BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremendous impact, improving efficiency, reducing costs a...
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| Publicado no: | Ann Saudi Med |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
King Faisal Specialist Hospital and Research Centre
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894458/ https://ncbi.nlm.nih.gov/pubmed/31804138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5144/0256-4947.2019.373 |
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