Subphenotyping heterogeneous patients with chronic critical illness to guide individualised fluid balance treatment using machine learning: a retrospective cohort study

BACKGROUND: The great heterogeneity of patients with chronic critical illness (CCI) leads to difficulty for intensive care unit (ICU) management. Identifying subphenotypes could assist in individualized care, which has not yet been explored. In this study, we aim to identify the subphenotypes of pat...

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Detalles Bibliográficos
Autores principales: Liu, Peizhao, Li, Sicheng, Zheng, Tao, Wu, Jie, Fan, Yong, Liu, Xiaoli, Gong, Wenbin, Xie, Haohao, Liu, Juanhan, Li, Yangguang, Jiang, Haiyang, Zhao, Fan, Zhang, Jinpeng, Wu, Lei, Ren, Huajian, Hong, Zhiwu, Chen, Jun, Gu, Guosheng, Wang, Gefei, Zhang, Zhengbo, Wu, Xiuwen, Zhao, Yun, Ren, Jianan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149181/
https://www.ncbi.nlm.nih.gov/pubmed/37131542
http://dx.doi.org/10.1016/j.eclinm.2023.101970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149181/
https://www.ncbi.nlm.nih.gov/pubmed/37131542
http://dx.doi.org/10.1016/j.eclinm.2023.101970

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