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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Detalhes bibliográficos
Publicado no:Front Med (Lausanne)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Medicine
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8288021/
https://ncbi.nlm.nih.gov/pubmed/34291058
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2021.664966
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