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Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
BACKGROUND: Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive. Early and accurate sepsis onset predictions could allow more aggressive and targeted therapy while maintaining antimicrobial stewards...
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| Опубликовано в: : | JMIR Med Inform |
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| Главные авторы: | , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
JMIR Publications
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5065680/ https://ncbi.nlm.nih.gov/pubmed/27694098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.5909 |
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