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. 2021 Apr 30;118:103794. doi: 10.1016/j.jbi.2021.103794

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Fig. 3 — Predictor importance from RSF on training cohort (NYP-WCM). The top most important predictors determined as those that explain 70% of the total cumulative importance are shown. ‘age_gt65’=≥65 years of age. For labs and vitals, predictors are labeled as ‘<feature>_<lab/vital>’. Features are labeled as below: ‘cluster_1_9’=Low/decreasing (Cluster 1) compared to high/increasing (Cluster 2) or no data/missing value (Cluster 9). Clusters were identified using LGMM. ‘cluster_2_9’=High/increasing (Cluster 2) compared to low/decreasing (Cluster 1) or no data/missing value (Cluster 9). Clusters were identified using LGMM. ‘nodata’=No available data or missing lab or vital sign ‘n_per_day_trend’=Trend in the number of values recorded per calendar day Labs and vital signs are labeled as below: ‘supp_oxygen’=Level of supplemental oxygen. ‘resp_rate’=Respiratory rate.