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Opportunities for Machine Learning to Improve Surgical Ward Safety
BACKGROUND: Delayed recognition of decompensation and failure-to-rescue on surgical wards are major sources of preventable harm. This review assimilates and critically evaluates available evidence and identifies opportunities to improve surgical ward safety. DATA SOURCES: Fifty-eight articles from C...
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| Publicado no: | Am J Surg |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7673643/ https://ncbi.nlm.nih.gov/pubmed/32127174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.amjsurg.2020.02.037 |
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