Identification of predictors for neurological outcome after cardiac arrest in peripheral blood mononuclear cells through integrated bioinformatics analysis and machine learning

Neurological prognostication after cardiac arrest (CA) is important to avoid pursuing futile treatments for poor outcome and inappropriate withdrawal of life-sustaining treatment for good outcome. To predict neurological outcome after CA through biomarkers in peripheral blood mononuclear cells, four...

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Detalles Bibliográficos
Autores principales: Li, Zhonghao, Qin, Ying, Liu, Xiaoyu, Chen, Jie, Tang, Aling, Yan, Shengtao, Zhang, Guoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023777/
https://www.ncbi.nlm.nih.gov/pubmed/36930329
http://dx.doi.org/10.1007/s10142-023-01016-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023777/
https://www.ncbi.nlm.nih.gov/pubmed/36930329
http://dx.doi.org/10.1007/s10142-023-01016-0

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