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Reduction of false alarms in the intensive care unit using an optimized machine learning based approach
This work attempts to reduce the number of false alarms generated by bedside monitors in the intensive care unit (ICU), as a majority of current alarms are false. In this study, we applied methods that can be categorized into three stages: signal processing, feature extraction, and optimized machine...
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| Wydane w: | NPJ Digit Med |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6728371/ https://ncbi.nlm.nih.gov/pubmed/31508497 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0160-7 |
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