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Use of machine learning algorithms to predict life-threatening ventricular arrhythmia in sepsis
AIMS: Life-threatening ventricular arrhythmias (LTVAs) are common manifestations of sepsis. The majority of sepsis patients with LTVA are unresponsive to initial standard treatment and thus have a poor prognosis. There are very limited studies focusing on the early identification of patients at high...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232270/ https://www.ncbi.nlm.nih.gov/pubmed/37265863 http://dx.doi.org/10.1093/ehjdh/ztad025 |