Table 6.
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