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An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest
BACKGROUND: In‐hospital cardiac arrest is a major burden to public health, which affects patient safety. Although traditional track‐and‐trigger systems are used to predict cardiac arrest early, they have limitations, with low sensitivity and high false‐alarm rates. We propose a deep learning–based e...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6064911/ https://www.ncbi.nlm.nih.gov/pubmed/29945914 http://dx.doi.org/10.1161/JAHA.118.008678 |