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...

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Detalles Bibliográficos
Autores principales: Li, Le, Zhang, Zhuxin, Zhou, Likun, Zhang, Zhenhao, Xiong, Yulong, Hu, Zhao, Yao, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
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

Internet

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

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