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Table 2 Cohort analysis of the reoptimized Cohort 1 EFCN models on the other cohort data

From: A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow

Cohort 2

(N = 156)

Cohort 3

(N = 218)

Patients that were not initially given CA, that the model predicts to get CA

23/122

(18.85%)

No change in CPC class

18/23 (78.3%)

Patients that were not initially given CA, that the model predicts to get CA

33/175

(18.86%)

No change in CPC class

23/33 (69.7%)

Positive change in CPC class

5/23 (21.7%)

Positive change in CPC class

10/33 (30.3%)

Negative change in CPC class

0/23 (0%)

Negative change in CPC class

0/33 (0%)