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Simultaneous multiple features tracking of beats: A representation learning approach to reduce false alarm rates in ICUs
The high rate of false alarms is a key challenge related to patient care in intensive care units (ICUs) that can result in delayed responses of the medical staff. Several rule-based and machine learning-based techniques have been developed to address this problem. However, the majority of these meth...
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| Publicat a: | Proceedings (IEEE Int Conf Bioinformatics Biomed) |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7552433/ https://ncbi.nlm.nih.gov/pubmed/33062389 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/bibm47256.2019.8983408 |
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