Skip to main content

Table 2 Predictive performances of the CCU physician and the ANN.

From: An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

 

Sens

Spec

PPV

NPV

Predicting STEMI

    

ANN

0,95 (0,82-0,99)

0,68 (0,63-0,73)

0,18 (0,13-0,23)

0,99 (0,98-1,00)

CCU physician

0,74 (0,57-0,87)

0,98 (0,97-0,99)

0,76 (0,59-0,088)

0,98 (0,97-1,00)

ANN and CCU physician*

0,74 (0,57-0,87)

0,99 (0,98-1,0)

0,80 (0,63-0,92)

0,98 (0,97-0,99)

Predicting need of acute PCI

    

ANN

0,97 (0,85-1,0)

0,68 (0,63-0,72)

0,17 (0,12-0,23)

1,0 (0,98-1,00)

CCU physician

0,78 (0,61-0,90)

0,98 (0,97-0,99)

0,76 (0,59-0,89)

0,98 (0,97-0,99)

ANN and CCU physician*

0,78 (0,61-0,90)

0,99 (0,98-1,0)

0,80 (0,63-0,92)

0,98 (0,97-0,99)

  1. Sens; sensitivity, Spec; specificity, PPV; positive predictive value, NPV; negative predictive value *Theoretical diagnostic performances if only ECGs in which the ANN predicted STEMI were to be transmitted to the CCU physician.