Fig. 2

Feature importance scores for A Model 1 – five perinatal features, B Model 2—respiratory model data for day of life 1, C Model 3 – respiratory model data for day of life 1–7, and D Model 4 – respiratory model data for day of life 1–14. Feature importance scores were calculated based on permuting the values of the indicated feature followed by re-building the model and calculating the decrease in prediction accuracy. The scores were normalized between 0 and 100, with 0 being least important, and 100 being most important. The scores were obtained by running the varImp() function from the caret package