Skip to main content
Figure 1 | Critical Care

Figure 1

From: Identification of candidate serum biomarkers for severe septic shock-associated kidney injury via microarray

Figure 1

Results of the leave-one-out cross-validation procedure involving 21 gene probes. The procedure was based on a Support Vector Machines algorithm and was targeted at prediction of 'SSAKI' and 'no SSAKI' classes. Performance calculations provided as the percentage with 95% confidence intervals (CIs). LR, likelihood ratio; NPV, negative predictive value; PPV, positive predictive value; SSAKI, sepsis-shock-associated acute kidney injury.

Back to article page

Critical Care

ISSN: 1364-8535