Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models

Background: Early prediction of the clinical outcome of patients with sepsis is of great significance and can guide treatment and reduce the mortality of patients. However, it is clinically difficult for clinicians. Methods: A total of 2,224 patients with sepsis were involved over a 3-year period (2...

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Detalles Bibliográficos
Autores principales: Su, Longxiang, Xu, Zheng, Chang, Fengxiang, Ma, Yingying, Liu, Shengjun, Jiang, Huizhen, Wang, Hao, Li, Dongkai, Chen, Huan, Zhou, Xiang, Hong, Na, Zhu, Weiguo, Long, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288021/
https://www.ncbi.nlm.nih.gov/pubmed/34291058
http://dx.doi.org/10.3389/fmed.2021.664966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288021/
https://www.ncbi.nlm.nih.gov/pubmed/34291058
http://dx.doi.org/10.3389/fmed.2021.664966

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