Individualized resuscitation strategy for septic shock formalized by finite mixture modeling and dynamic treatment regimen

BACKGROUND: Septic shock comprises a heterogeneous population, and individualized resuscitation strategy is of vital importance. The study aimed to identify subclasses of septic shock with non-supervised learning algorithms, so as to tailor resuscitation strategy for each class. METHODS: Patients wi...

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Detalles Bibliográficos
Autores principales: Ma, Penglin, Liu, Jingtao, Shen, Feng, Liao, Xuelian, Xiu, Ming, Zhao, Heling, Zhao, Mingyan, Xie, Jing, Wang, Peng, Huang, Man, Li, Tong, Duan, Meili, Qian, Kejian, Peng, Yue, Zhou, Feihu, Xin, Xin, Wan, Xianyao, Wang, ZongYu, Li, Shusheng, Han, Jianwei, Li, Zhenliang, Ding, Guolei, Deng, Qun, Zhang, Jicheng, Zhu, Yue, Ma, Wenjing, Wang, Jingwen, Kang, Yan, Zhang, Zhongheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273991/
https://www.ncbi.nlm.nih.gov/pubmed/34253228
http://dx.doi.org/10.1186/s13054-021-03682-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273991/
https://www.ncbi.nlm.nih.gov/pubmed/34253228
http://dx.doi.org/10.1186/s13054-021-03682-7

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