Skip to main content
. 2020 Jan 21;46(3):383–400. doi: 10.1007/s00134-019-05872-y

Table 6.

Univariate and multivariate outcomes

Variables Univariate analysis Multivariate analysis
Coeff SE p value Coeff SE p value
Temperature as feature 0.788 0.239 0.002 0.812 0.218 0.000
Lab values as feature 0.835 0.311 0.008 0.842 0.291 0.003
Type of model (ref. = EM) 0.018 0.020
 Generalized linear model − 0.211 0.251 − 0.211 0.231
 Naïve Bayes − 0.651 0.312 − 0.682 0.291
 Neural network 0.344 0.300 0.172 0.278
 Proportional hazard − 0.464 0.851 − 0.506 0.673
 Support vector machines − 0.168 0.256 − 0.161 0.241
 Decision trees − 1.013 0.419 − 1.088 0.399
Target condition defined as Seymour (Sepsis-3) − 1.039 0.459 0.025
Target condition definition contains SOFA − 0.935 0.438 0.033
Respiratory rate as feature 0.672 0.250 0.008
Heart rate as feature 0.680 0.327 0.037
Arterial blood gas as feature 0.802 0.313 0.011

Coeff coefficient, SE standard error, ref. reference model, EM ensemble methods, SOFA sequential organ failure assessment