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Table 2 Evaluation report using the random forest model with the SMOTE preprocessing algorithm on the adverse outcomes in ED patients with chest pain

From: Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain

Outcome

Number

Negative outcome

Positive outcome

Number after imbalanced processing (over sampling)

Accuracy

Precision

Sensitivity

Specificity

F1

AUC

AMI < 1 month

85,254

67,921

17,333

135,842

0.915

0.916

0.915

0.882

0.915

0.915

All-cause mortality < 1 month

85,254

85,040

214

170,080

0.999

0.999

0.999

0.999

0.999

0.999

  1. SMOTE synthetic minority oversampling technique; ED emergency department; F1, 2 x (precision x recall/precision + recall); AUC area under the curve; AMI acute myocardial infarction