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Decision tree model for predicting outcomes after out of hospital cardiac arrest in the emergency department

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Academic year: 2020

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Figure

Figure 1 Study profile with selection of participants. AED, automated external defibrillator; CPC, cerebral performance category; ECG,electrocardiogram.
Table 1 Baseline characteristics and outcomes of the study patients
Table 2 Definition of prediction groups for out-of-hospital cardiac arrest
Figure 3 Decision-tree model of recursive partitioning analysis for predicting survival at 1 month after out-of-hospital cardiac arrestand prediction groups in the development cohort

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