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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
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Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

ISSN: 1757-7241