Fig. 2: Effect of feature types on AUROC for prediction of decompensation.
From: Predicting patient decompensation from continuous physiologic monitoring in the emergency department
a AUROC point estimates with bootstrapped 95% CIs represent prediction performance on the test set (see also Supplementary Tables 1-2). b AUROC differences from the baseline triage model with 95% CIs. For each outcome, additional monitoring features produced more accurate predictions than the baseline triage model. “Triage” variables include age, gender, triage vital signs, and chief complaint. “VS Trends” denotes first vital signs from continuous monitoring, and the linear trend of each vital sign over a 15-minute assessment period. “PAT” denotes pulse arrival time, calculated from the ECG and PPG waveforms. “HRV” is a suite of heart rate variability measures. “Perfusion” is the perfusion index. “Waveforms” indicates an 8-dimensional embedding generated from a transformer model, with 4 features each from the PPG and ECG waveforms. The best-performing model for each outcome is highlighted in light blue.
