Features selected by the univariate feature selection process more than half of the cross-validation iterations for the CPOnly dataset where the mean magnitude of the logistic regression coefficient was ≥ 0.1.

The CPOnly Count column indicates the number of iterations out of ten for which the feature was selected. All features were used in every iteration for the CP+Clinical dataset. The CPOnly Coefficient and CP+Clinical Coefficient indicate the mean coefficient for the feature as learned by the logistic regression classifier for the CPOnly and CP+Clinical datasets, respectively. Positive coefficients (bold text) indicate features for which positive values are associated with an increase in the predicted sepsis probability. Negative coefficients (italics text) indicate features for which positive values are associated with a decrease in the predicted sepsis probability. The “difference” variables are positive when the value has increased compared to the patient’s average over the previous 24 hours.