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Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections
BACKGROUND: A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative culture results. By reducing the number of query samples to be cultured and enablin...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6708133/ https://ncbi.nlm.nih.gov/pubmed/31443706 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0878-9 |
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