Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study

BACKGROUND: Life-threatening ventricular arrhythmias (LTVAs) are main causes of sudden cardiac arrest and are highly associated with an increased risk of mortality. A prediction model that enables early identification of the high-risk individuals is still lacking. OBJECTIVE: We aimed to build machin...

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Detalles Bibliográficos
Autores principales: Li, Le, Ding, Ligang, Zhang, Zhuxin, Zhou, Likun, Zhang, Zhenhao, Xiong, Yulong, Hu, Zhao, Yao, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687678/
https://www.ncbi.nlm.nih.gov/pubmed/37966870
http://dx.doi.org/10.2196/47664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687678/
https://www.ncbi.nlm.nih.gov/pubmed/37966870
http://dx.doi.org/10.2196/47664

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