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30 [0.26, 0.34] at a cut-off of≥10. The features with the most impact on the PSI prediction were maximum diastolic blood pressure prior to PSI prediction (mean SHAP=3.4), height (mean SHAP=3.2), and maximum temperature prior to PSI prediction (mean SHAP=2.6). A machine learning model using common features in the electronic medical records can predict the onset of serious infections in children with central venous lines at least 8h prior to when a clinical team drew a blood culture. A machine learning model using common features in the el
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