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Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and efficient in an era of new financial and regulatory imp...
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| 發表在: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
American Medical Informatics Association
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5977673/ https://ncbi.nlm.nih.gov/pubmed/29854220 |
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