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Medical decision support using machine learning for early detection of late-onset neonatal sepsis
OBJECTIVE: The objective was to develop non-invasive predictive models for late-onset neonatal sepsis from off-the-shelf medical data and electronic medical records (EMR). DESIGN: The data used in this study are from 299 infants admitted to the neonatal intensive care unit in the Monroe Carell Jr. C...
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| Главные авторы: | , , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMJ Publishing Group
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3932458/ https://ncbi.nlm.nih.gov/pubmed/24043317 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001854 |
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