Diagnosis of Sepsis Based on Potential Immune-Related Biomarker and Machine Learning Method
Author:
Affiliation:
1. Posts and Telecommunications Institute of Technology,Hanoi,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013813.pdf?arnumber=10013813
Reference18 articles.
1. Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis
2. Screening and identification of key gene in sepsis development
3. Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission
4. A robust and generalizable immune-related signature for sepsis diagnostics
5. A molecular host response assay to discriminate between sepsis and infection-negative systemic inflammation in critically ill patients: Discovery and validation in independent cohorts;poll;PLoS Medicine,2015
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